1. Ph.D Theses
Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/1/11
Browse
46 results
Search Results
Item Probabilistic Seismic Hazard Assessment and Site Characterisation of Southwest India(National Institute of Technology Karnataka, Surathkal, 2019) Shreyasvi, C.; Venkataramana, KattaThe present study is an attempt to perform region-specific seismic hazards assessment for the southwest part of India. The area of interest belongs to seismic zone III i.e susceptible to moderately sized earthquakes up to magnitude (MW) 6.0. The overall study area includes Goa, a major portion of Karnataka and North Kerala. The closely located epicenters of the past earthquakes along the western coastal stretch intrigued this investigation. The study houses a whole bunch of petrochemical industries and infrastructures of commercial and religious interest, making seismic preparedness inevitable. The local site effects are incorporated into PSHA, thereby, making the outcome of the study applicable to current seismic design practices. A regional seismic catalog spanning over 190 years with a few prehistoric events from the early 16th century has been compiled. The seismic hazard has been computed by for a reference site condition (VS > 1500ms-1). The investigation suspects mining-induced seismicity in Bellary and Raichur districts though there is no mention of this in the prior literature. The local site effect has been captured by performing 1D equivalent linear analysis using SHAKE 2000. The amplification models as a function of input ground motion for ‘sand’, ‘clay’ and ‘other soil’ have been developed for different periods. The ‘sand’ amplifies 33% more than ‘other soil’ and 29% more than the ‘clay’ for lower input acceleration. ‘Sand’ exhibits nonlinear behavior whereas ‘clay’ demonstrates sustained amplifications at longer periods with increasing plasticity index. These amplification models are incorporated into PSHA by transforming the GMPEs. The resulting uniform hazard spectrum (UHS) for all the three soil types was compared with the elastic spectrum of various codes. The codal provision underestimates the spectral values at smaller periods (T<0.5s) and overestimates at higher values. The local soil data was unavailable for the whole of the study region and hence, the digital elevation maps have been used to determine the site topography. The slope calculated from topography is correlated to shear velocity in the top 30m (Vs (30)) and the ground motion parameters are estimated. A maximum of 60% to 80% amplification has been observed in the study area.Item Strategies for Inclusion of Uncertainties in Modeling Techniques for Enhancement of Capabilities of Pushover Analysis(National Institute of Technology Karnataka, Surathkal, 2019) Kulkarni, Supriya R.; Narayan, K. S. Babu.Pushover analysis is an extensively used tool for performance evaluation of structures under seismic loads. Continuous efforts are on for enhancement of capabilities of the same. Refinements to geometric and material modeling have led to better understanding of structural performance. Notwithstanding the attempts, though analytical predictions of strengths have been in close agreement with experimental, displacements predicted have differences. Attempts to close this gap between predicted and observed displacement characteristics have always been centered around geometric and material modeling. The sequence of plastic hinge formation and its influence on displacement characteristics needs very serious consideration. The present study highlights this issue with illustrations by suggesting strategies to reduce tremendous computational efforts, required for considering plastic hinge formation sequence in performance appraisal. Strategy 1 considers 15% of potential plastic hinge locations and allows variations leading to different sequences. Two sub strategies have been proposed by way of allocation of defective plastic hinge locations to horizontal and vertical planes. When hinges with uncertainties are restricted to horizontal planes, variations in base shear values are between 1.4% to about 1.7% in comparison with experimental study. Whereas displacements are lower by 10%. When hinges with uncertainties are restricted to vertical planes, the difference in both base shear and displacements show the range of variations of 7% and 15% with respect to experimental results suggesting assignment of plastic hinges with uncertainties distributed in horizontal planes for better results. Strategy 2 adopts randomization of plastic hinge locations with uncertainties associated, distributed throughout the 3D frame. The analysis results indicate such a consideration is superior then strategy 1 to get analytical results almost perfectly matching with experimental results. Strategy 1, finds application where defect and deficiency features are known a priori. Whereas strategy 2 can be employed in all situations.Item Solid-State Anaerobic Co-digestion of Organic Substrates for Biogas Production(National Institute of Technology Karnataka, Surathkal, 2019) Uma, S.; Thalla, Arun Kumar; Devatha, C. P.Solid waste management is an important problem in the developing countries due to the rapid quantity of waste generation as they urbanize. As the demand increases for bioenergy, biofuels produced from waste biomass replicates as a supplementary energy resource to satisfy the requirements. Most of these generated wastes consist of biodegradable organic matter, which could be utilized as a source for biofuel generation. These biodegradable wastes are highly opted by suitable treatment method, which is known by anaerobic biodegradation. This study investigated the performance of organic waste digestion in laboratory-scale for biogas production. Also, it focuses on the effects of process parameters such as pH, alkalinity and volatile acids on biogas yield performance by batch and semi-continuous digestion. Food waste and switchgrass is used as the feedstock in the present study, which is collected from NITK campus. The objective (1) of this study aimed to investigate the effects of pretreatment of switchgrass on biogas production. Switchgrass is used as a feedstock, which is subjected to physical and chemical pretreatment for batch digestion at mesophilic condition. Batch experimental results from raw switchgrass yields 248 mL CH4/g VS at mesophilic condition. The biomethane potential of pretreated SG is 53%, 52% and 12% higher for alkali, organosolv and thermal pretreatments respectively, and 44% and 20% lower at acid and liquid hot water pretreatments in comparison to raw SG yield. Highest biomethane yield confirms the enhanced biodegradability of switchgrass by alkaline and organosolv pretreatments. The objective (2) aimed at co-digesting the food waste (FW) and switchgrass (SG) by batch and semi-continuous mode for biogas production. The performance of batch codigestion is determined with FW and SG as a feedstock with different mix ratio (0:1; 1:1; 0:1 FW: SG) at mesophilic and thermophilic temperatures. Semi-continuous digestion is conducted by varying the loading from 4-8 g/L with mix ratios (100:0, 12:88, 25:75, 50:50 and 0:100 FW: SG) at mesophilic conditions. The process parameters (pH, alkalinity and volatile fatty acids) are monitored frequently for their interactive effects on biogas production by batch and semi-continuous digestion.iv The highest methane yield is observed with 1:1 FW: SG as 267 mL/g VS at mesophilic (32-day retention time) and 234 mL/g VS at thermophilic (18-day retention time) condition during batch digestion. Methane yield has a positive response on co-digestion and confirmed by digestion performance index (DPI). Results reveal that co-digestion at 1:1 ratio yields an enhanced performance with both FW and SG in mesophilic as well as thermophilic condition. This study confirms that the presence of slow and fast biodegradable organic matters has an equal contribution to methane yield. A t-VFA/Alk ratio maintains the consistency between acidification and methanation phase. The t-VFA/alk ratio is 0.2 to 0.9 for mesophilic and 0.3-1.5 for thermophilic condition. The release of volatile acids at shorter retention time is observed with thermophilic owing to, faster hydrolysis than at mesophilic conditions. The maximum biogas yield is 628 mL/g VS for 4 g /L loading for semi-continuous mode. The methane content obtained is around 65% that shows the stable performance at varying ratios of FW and SG. Average value of methane yield is 320 mL CH4/g VS which is estimated about 32,000 m3 that produces the energy of 320, 000 kW-h. Results well agreed to implement the combined heat and power system, as electrical and thermal efficiencies by 35% and 50% are widespread across many countries for the energy conversion.Item Development of Bidirectional Mixed Traffic Simulation Model for Urban Roads(National Institute of Technology Karnataka, Surathkal, 2019) Kotagi, Punith B.; Gowri, A.Most of the cities in developing and emerging countries (e.g. India, China) consist of large proportion of undivided roads which carry mixed traffic with non-lane discipline. Vehicular manoeuvers on such roads are complex due to high lateral interactions between the vehicles moving in both directions in the absence of divider (median). Traffic congestion in cities during peak hours prolongs for longer periods each day which reduces the capacity of roads and increases delay and pollution. Possible ways to reduce these problems are to improve the operation of existing road systems through better traffic control and management measures. Microscopic simulation model is identified as a widely used tool to evaluate traffic control and management measures. The overall objective of this research work is to develop a microscopic simulation model for bi- directional traffic on urban undivided roads in mixed traffic conditions. The simulation model consists of three major logics: vehicle generation, vehicle placement, and vehicle movement. Longitudinal and lateral movements of vehicles are modeled together to mimic the real world conditions. The concept of influence area is introduced to identify the most influencing leader vehicle in vehicle movement logic. The simulation model is implemented in MATLAB programming language using Object-Oriented Programming (OOP) concepts. The model is calibrated and validated using internal and external datasets collected from two different urban cities (Bengaluru and Kollam) in India. The statistical validation indicates that the simulation model replicates the field conditions realistically. The developed model is applied to evaluate traffic management measures such as reversible lane (tidal flow) operations and modal shift of private vehicles towards public transport. A reversible roadway is one in which the direction of traffic flow in one or more lanes or shoulders is reversed to the opposing direction for some period of time to reduce congestion. The reversible lane operation is implemented in the model and the impact of it on capacity of roads is studied by using four different vehicular compositions commonly observed on major urban arterials in Indian cities. For this purpose, capacity of the road without and with reversible lanes are determined from simulation model. Simulation runs are performed for 24 scenarios without reversible lanes and 24 scenarios with it (total of 48 runs). Each simulation run represented one hour of traffic flow during peak period. Results show that there is animprovement in capacity during peak hours after implementing reversible lanes. For twowheeler dominant composition, the capacity in ongoing direction during morning peak hour is increased by 20.5% and similarly, capacity in opposing direction during evening peak hour is increased by 19.20%. The modal shift from private vehicles (two-wheelers and cars) to public transport system (bus) is implemented in the model and its impact on capacity, travel time and emissions are studied. Three different scenarios (shifting commuters, only from two-wheelers, only from cars, and both from two-wheelers and cars together) are evaluated using traffic data collected from study sections located in major urban cities such as Bengaluru, Delhi, and Mumbai. For this purpose, capacity, travel time and emissions before and after modal shift are obtained from simulation model. Simulation runs are performed for 9 scenarios before modal shift and 153 scenarios after modal shift (total of 162 runs). The optimum number of buses to be increased in these sections are also obtained. The results show that implementation of modal shift (for optimum increment in buses) improves the capacity by 16.9%, 17.8% and 45.8% for Bengaluru, Delhi, and Mumbai, respectively. Reduction in travel time observed for these sections are 17.2%, 26.9% and 19.5%, respectively. Also, there is a significant reduction in CO2 emissions in the range of 7.3 % - 12.6 %. The developed simulation model can serve as a tool for traffic engineers and policy makers to evaluate various other traffic control and management measures (e.g. exclusion of certain category of vehicles, implementation of lane discipline and lane segregation), which can be implemented on urban roads carrying mixed traffic as prevailing in developing and emerging countries.Item Improving Determinant Factors to Facilitate Construction Industry Development in Ethiopia(National Institute of Technology Karnataka, Surathkal, 2019) Mengistu, Desalegn Girma; Mahesh, GangadharFacilitating construction industry development is important to maximize its contribution to national development. It is even much more important in developing countries considering that higher portion of their annual budget goes for infrastructure development and the industry faces more challenges. This study has focused on developing improvement frameworks for manpower development, enhancing competitiveness and harmonized industry practice which were identified as recurring factors affecting Ethiopian construction industry so as to facilitate development of the industry. The objectives set include understanding the factors (their nature and interrelationship with the business environment), challenges of the industry, improvement of the factors and key performance indicators for monitoring and tracking the improvement. The study first developed a conceptual framework and categorized the variables affecting the determinant factors based on their presumed sources. Mixed methods approach was adopted for data collection. Quantitative data was collected through questionnaire survey while semi-structured interview and document analysis were used to obtain the qualitative data. The findings indicate that the factors and characteristics of the business environment are mutually interdependent. The major challenges identified from their respective sources were; construction industry development policy implementation and corruption from role of government, weak capacity of contractors and consultants from resource related variables, lack of collaboration and professionalism from nature of the industry and lack of benchmarking construction industry development practice from industry‟s vision for development. Based on the improvement assessment of the factors, improvement frameworks and key performance indicators were developed. It was found that improvement of the industry needs strengthening the existing institutions for effective coordination, aligning the applicable regulatory tools with industry specific development strategies and establishing some implementation systems. Though the study focus is context specific the findings could be extended to other similar developing countries.Item Application of Electronic Ticket Machine Data for Analysis and Forecasting of Bus Transport Demand(National Institute of Technology Karnataka, Surathkal, 2019) Cyril, Anila; Mulangi, Raviraj H.; George, VarghesePassenger demand estimation and forecasting is the fundamental process in public transport planning activity. The optimised operational planning of public transport requires the accurate prediction of the passenger flow on a periodical basis. This research tries to develop an intra-city and inter-city passenger demand estimation model using the data-driven time series approach. In this study, the source of time-series data is the Electronic Ticket Machine (ETM) data, which was not previously explored for passenger demand modelling and forecasting by the researchers. The data used for the study are mainly ETM data from Kerala State Road Transport Corporation (Kerala SRTC). During the analysis of the Kerala ETM data, it was found that the length of intra-city ETM data (for Trivandrum city) available for individual routes varies from 1.5 years to 2 years (2011 to 2013), while inter-city data were not sufficient for timeseries modelling. Therefore, inter-city ETM data of Mangalore division Karnataka State Road Transport Corporation (Karnataka SRTC) was collected for a period of 2013 to 2018, which comprises of a total five-year data, to perform inter-city passenger demand modelling. The intra-city ETM data for Mangalore was not collected since the intracity services are mainly operated by private operators. The private operators have not maintained and stored the ETM data. Since the travel demand is affected by the performance of the public transport system and the bus transport agencies operating the services, this study evaluates the performance of the public transport system and the public transport operator. Therefore, in addition to ETM data, this study also uses data provided by various state and central government agencies. The level of service offered by the public transport system in Trivandrum city, the accessibility of public transport and the performance evaluation of Kerala SRTC was performed to evaluate the present condition of the public transport system in Trivandrum and Kerala SRTC. The performance evaluation of Karnataka SRTC was not performed since the data collected from Karnataka was only for modelling inter-city passenger demand. The Level-of-Service (LoS) was determined using the service level benchmarks set by the Ministry of Urban Development, Government of India. This approach can be used to determine the LoS at the city-level and thus provides a measure for identifying the public transport quality of an urbanvi area. The overall LoS is found to be ‘one’. This indicates that the city has good service coverage, i.e., the public transport ply on most of the corridors in the urban area. The facilities are available wide-spread and are available to the people. This study proposed a methodology for the determination of the accessibility index, which is based on the factor that the index should measure the accessibility which comes from proximity to bus stops and land use destinations, and the proportion of the population served. It was observed that the accessibility index in the central area has a higher value and the accessibility values decrease to the periphery of the city. It can be interpreted that the availability of opportunities is higher in the central area, while the number of opportunities is less in other areas. The density of the road network is more towards the city centre, which contributes to higher accessibility values. Also, given that the concentration of population is high in the city centre and the higher number of bus stops, the accessibility index tends to be more in these areas. The performance evaluation of Kerala SRTC was performed using the methodology developed in this study. A weighted Goal Programming (GP) methodology integrated with Analytical Hierarchy Process (AHP) considering the user’s and operator’s perception was used. The operator cost and staff per schedule were the most important variables in regard to the operator, while the safety of travel with respect to user perception. The optimal solution indicates that increasing the accessibility, safety and regularity attract passengers to the public transport that in turn improves the load factor which influences the operators to maximise the fleet utilisation and reduce the cancellation of schedules. The proposed model solution suggests decreasing the staff per bus that will further reduce the staff cost and hence the operating cost. The correlation analysis of ETM data revealed that the relevant temporal pattern in the time-series data (for both intra-city and inter-city) was daily time-series pattern, which was further taken into account during the modelling process. Also, in the data analysis, it was found that 85% of the intra-city data was nonstationary, while 100% of the data for inter-city was nonstationary. The nonstationary data were differenced to make it stationary for further time series analysis. Only 30% of the intra-city data was having seasonal effect while 100% of the inter-city data exhibits seasonality. It is due to the fact that the seasonal variations are not that prevalent in urban travel demand. But intervii city travel is affected by seasonal variations. 95% and 99% of intra-city and inter-city data respectively were non-normal. Therefore, data transformation was required to make these data normal for further analysis. 90% of the intra-city routes were having nonlinearity while all the routes of the inter-city were nonlinear. Hence, nonlinear modelling was required to model it. A methodology to develop an empirical passenger demand estimation model using the data-driven time series approach, employing the capabilities of AutoRegressive Integrated Moving Average (ARIMA) method is developed. The ARIMA model is suitable when dealing with a nonstationary time-series data. But, it cannot be applied to data sets having volatility. When the time-series data has heteroscedasticity, i.e., the variances of error terms are not equal, or some of the error terms are reasonably large, AutoRegressive Conditional Heteroscedasticity (ARCH) models are used for modelling the data sets. When the data have non-standard features like non-normal distribution, and non-linear relationship with lagged values require non-linear AutoRegressive Neural Network (ARNN) modelling methods. The methodology to improve the developed model using the nonlinear ARCH and ARNN methods are determined. It includes a comprehensive methodology for model selection and forecasting, which requires only basic econometric knowledge. The empirical results were compared with the actual value for 30 days and 7 days forecast horizon; and found that the time series model could predict the future observations with an acceptable forecast accuracy. The forecasting performance of developed models are measured using the Mean Absolute Percentage Error (MAPE), and the model goodness of fit is determined using information criteria. The lower value of MAPE represents a good forecast. Lewis (1982) describes MAPE greater than 50% as inaccuracy in forecasting, 20-50% as reasonable forecast, 10-20% as good forecast and less than 10% as highly accurate forecast. In this study, the MAPE values for the 30 days and 7 days forecast were less than 10%. This time-series methodology is useful when there is limited or no information available about the factors affecting the demand. Recommendations have been made to improve the performance of bus operating organisations.Item Performance Evaluation of Geopolymer Mortar Mixes Using Recycled Fine Aggregate(National Institute of Technology Karnataka, Surathkal, 2019) Saha, Suman; Rajasekaran, C.Manufacturing of Ordinary Portland cement (OPC) requires huge quantity of natural resources, energy and it releases large amount of carbon-dioxide to the environment. Numerous research efforts have been made continuously to establish geopolymer as the most suitable alternative binder material in view of economical and environment consideration. With the rapid growth in construction activities, high amount of construction and demolition waste (C&DW) is generated and large volumes of natural resources are also being consumed by the construction industry. As a result, both the quantities of C&DW to be disposed off and the scarcity of natural resources are increasing day by day. To promote sustainability in construction industry, the use of recycled concrete aggregates, resourced from C&DW is very important and provides a useful solution for the production of concrete. Here an attempt is made to use C&DW as recycled fine aggregate (RFA) for the production of fly ash based geopolymer mortar mixes. Effects of the concentration of sodium hydroxide solution, the ratio of sodium silicate solution to sodium hydroxide solution, the ratio of alkaline liquid to binder, different curing regimes and RFA content on the properties of mortar mixes produced have been explained based on the observations at laboratory. Experimental results indicate that 20% RFA can be used effectively to obtain better performances of the mixes. Using the observed results in the laboratories, prediction models for water absorption capacity, compressive strength and drying shrinkage of the produced geopolymer mortar mixes were developed using artificial neural networks.Item Cohesive Zone Model for Fracture Characterisation in Composites(National Institute of Technology Karnataka, Surathkal, 2019) B, Kesava Rao; Balu, A. S.Delamination between plies is the most common mode of failure in composite laminates, which occurs due to the presence of matrix cracks, free edges and notches. Prediction of such failure poses a challenging task as it overburdens the computational resources. Therefore, cohesive zone model (CZM) was introduced for representing fracture as a material separation across crack surface. In CZM, cracks and other material discontinuities can be represented using zero thickness fracture process zone in a finite element (FE) framework. Hence, it has become one of the most powerful computational models in predicting the crack initiation and propagation in composites. Further to improve the efficiency of the model, metamodel techniques were introduced to capture the delamination strength of composites. Nevertheless, most of the metamodels are inefficient for highly nonlinear problems and sometimes insensitive to the parameters. Therefore, in this work, a novel CZM is developed based on high dimensional model representation (HDMR) to evaluate the fracture behavior of composites under different mode conditions. The proposed methodology involves the development of CZM using HDMR, implementation of traction-separation laws in FE model using a user-defined subroutine in Abaqus, and minimisation of error using optimisation techniques. An attempt has been made to reduce the computational effort in accurately capturing the delamination strength. The proposed model is employed for capturing the steady state energy release rate (ERR) of a double cantilever beam (DCB) under Mode-I loading. The FE models have been created using HDMR-based response functions. Initially, the CZM is developed for predicting the delamination strength of 51 mm crack size DCB specimens, and the model is then used to predict the ERR variations of 76.2 mm crack size specimens. Subsequently, the numerical results of the developed DCB models are verified with the available experimental data for unidirectional composites (IM7/977- 3). Then, the efficiency of the proposed model is demonstrated by comparing the results with second-order nonlinear regression metamodels. Further, the proposed methodology is extended to assess mixed-mode (MM) failure behavior of the adhesive joints. As a part of experimental study, the composite single leg bending (SLB) specimens are manufactured by using unidirectional carbonfiber reinforced material and epoxy resin, and the tests are conducted in TINUS testing machine as per ASTM D790 under the influence of pure mode dominant conditions in order to obtain the cohesive parameters. Optimization techniques are used to minimize the error between the simulation and experimental values. The MM–CZM is then established and implemented in the SLB joint under various mode mixities for analysing the fracture process. Comparison between the numerical and experimental results shows that the proposed HDMR based approach estimates the failure mechanism efficiently.Item Torsional Response of Asymmtric Buildings under Earthquake Loads(National Institute of Technology Karnataka, Surathkal, 2019) Satheesh, Archana J.; Jayaleksmi, B. R.; Venkataramana, KattaIrregular buildings constitute a major fraction of the urban infrastructure due to various occupational and architectural demands.Most buildings are irregular to varying degrees due to asymmetry in plan, elevation, distribution of vertical members or mass distribution on the floors. Perfectly regular buildings are more of an idealized concept and in practice this condition is rarely satisfied. Under seismic loading, the presence of structural irregularity in buildings leads to large displacement amplifications and stress concentrations in the members which lead to their severe damage and ultimately, early collapse. The presence of irregularities in mass, stiffness, strength or geometry along the elevation of the building is categorized as vertical irregularity. Torsional irregularity or in-plan irregularity can be considered to exist if the building possesses non-concurrency in the lines of action of centers of mass and stiffness on a common vertical axis at each floor level. During earthquakes or any other lateral loads, the inertia force acts through the center of mass and resistive force through the center of stiffness or resistance. If an in-plan eccentricity is present, a time varying twisting moment is generated causing torsional vibration. The proposed study investigates the effect of in-plan irregularity and vertical irregularity on the seismic response of buildings. Irregularities in mass and stiffness along the height of the buildings in combination with torsional irregularities along the plan of the buildings are evaluated. Transient analysis is carried out to analyse the seismic response of the shear wall buildings, mass irregular buildings and stiffness irregular buildings with in-plan eccentricity using LS-DYNA software. The responses of the irregular buildings and the effect of in-plan eccentricity in terms of variation in natural period, base shear, storey drifts, roof deflection, torsional resultant and roof rotations obtained from the analysis due to asymmetry have been studied in detail.Based on the seismic responses of the irregular buildings, equations and irregularity coefficients are proposed to quantify and compare buildings with of vertical and torsional irregularity in combination. It is also attempted to suggest modification for the approximate natural period expression given in the IS 1893:2016 and ASCE 7-16 to incorporate the in-plan eccentricity and evaluate the natural period of irregular buildings. Also, the effects of frequency content of ground motions on the seismic responses of the irregular buildings are also evaluated. It is observed that the presence of in-plan eccentricity if present singly or in combination with any other irregularities, determines the overall seismic behavior of a building and tends to modify it's response.Item Experimental Studies on Interface Bond Strength of Ultra-Thin Whitetopping Pavements Under Static and Dynamic Loading Conditions(National Institute of Technology Karnataka, Surathkal, 2019) K, Jayakesh; S. N, SureshaThe concrete overlays on existing asphalt pavements are classified into three categories namely whitetopping, thin-whitetopping and ultra-thin whitetopping (UTW). The interface bond strength between the existing hot mix asphalt (HMA) pavement and the UTW overlay is the key factor towards the success of UTW overlays. The aim of the present work is to study the interface bond strength of UTW overlays subjected to different interface treatment techniques. Because loss of bond and layer delamination affects the composite behavior of UTW overlay. This will leads to premature failure and reduction in design service life of UTW overlays. Therefore, a good surface preparation method is required to improve the interface bond strength and to meet the design service life of UTW overlays. In order to achieve the objective of the present work experimental studies were conducted under laboratory conditions. An optimized cementitious fiber reinforced concrete (FRC) mix proportion for UTW was arrived using Taguchi method. The HMA mixture specimens of cylindrical and prism were casted using superpave gyrator and compression loading machine, respectively. Later, HMA-UTW composite specimens such as cylindrical and prism were casted with different interface treatment techniques. The different interface treatment techniques adopted for cylindrical specimens are single groove (SG), double groove (DG), piercing and piercing with different percentage of bonding. The HMA-UTW prism composite specimens with different percentage of bonding at the interface were adopted. To enumerate the interface bond strength for different interface treatment techniques two test methods were adopted namely direct shear test and flexural test. Both the tests were conducted under (i) static and (ii) dynamic loading conditions From direct shear test the effect of different interface treatment techniques on interface shear bond strength, k-modulus and number of cycles at failure were obtained. Similarly, in the flexural test, the flexural bond strength and number of cycles at failure were determined for different percentage of bonding. Based on the laboratory test results two interface treatment techniques such as groove interface technique with an inclination of 45 degrees and piercing interface treatment has been proposed. From flexural bond strength test results 75 mm HMA thickness had obtained highest flexural bond strength of 1.71 MPa and 1.4 million number of fatigue cycles. An HMA failure was noticed in 75 mm HMA thick composites subjected to dynamic loading condition.A Finite Element Analysis (FEA) using a contact friction model successfully simulated the interface behavior of HMA-UTW composites. An error of 4 to 14 % were obtained between laboratory test and the simulated model for piercing interface treatment and different HMA thickness subjected to different percentage of bonding.