Faculty Publications
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Publications by NITK Faculty
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Item Influence of NMAS and groove depths on the static and fatigue shear performance of aggregate interlocking in PQC mixes(Taylor and Francis Ltd., 2022) Bellary, A.; Suresha, S.N.In the present study, a new test methodology is proposed to characterise the shear transfer ability of aggregate interlocking in pavement quality concrete (PQC) cylindrical specimens by conducting the direct shear test in the laboratory. The influence of the nominal maximum aggregate size (NMAS) and groove depth (GD) on shear strength (τ), joint shear stiffness (K) and fracture energy mode–II (G IIF) of aggregate interlocking in pavement quality concrete (PQC) are studied under static loading. A relationship between G IIF and K is determined. Also, shear fatigue test is conducted at higher stress levels to evaluate the effect of NMAS and GD on the performance of aggregate interlocking in PQC specimens at the grooved cross-section. From the Anderson–Darling statistic test, it is found that obtained fatigue results follow three-parameter Weibull distribution. The shape parameter (β) of the distribution is between one and two, which indicates that failure is due to wearing action. It is concluded that the proposed method in this research can be effectively used to evaluate τ, K and G IIF of aggregate interlocking in PQC specimens. Also, the use of larger NMAS in the PQC mix significantly improves the performance of aggregate interlocking under shear fatigue loading. © 2021 Informa UK Limited, trading as Taylor & Francis Group.Item ANN Model to Predict Joint Stiffness of White-topped Pavements Using Falling Weight Deflectometer (FWD) Data(Springer, 2023) Bellary, A.; Suresha, S.N.The performance of white-topping pavements depends mainly on the functionality of joints. The functionality of joints is measured in terms of its load transfer efficiency (LTE). Falling weight deflectometer (FWD) device is most commonly used to evaluate the performance of joints in the field. Joint stiffness is used as an input parameter in the finite element (FE) based software to compute the LTE. In the present study, an improvement to the existing analytical model is presented that can be used to compute the joint stiffness of white-topping pavements directly from the FWD deflection data. Further, ANN models have been developed and compared for the proposed and previously available analytical models in the literature. The joint stiffness calculated from the ANN model developed from the proposed analytical model is used as an input parameter in FE model and LTE is compared with the field studies. It is concluded that the proposed ANN model can predict the joint stiffness of white-topping pavement accurately and in addition to that, it will also reduce the computation time and cost. © 2021, The Author(s), under exclusive licence to Chinese Society of Pavement Engineering.Item Small-scale laboratory tests for quantifying aggregate interlocking in short-panelled concrete pavements(Taylor and Francis Ltd., 2024) Bellary, A.; Suresha, S.N.In the present study, a simple and reliabe small-scale laboratory test to assess the performance of aggregate interlocked joints in short-panelled concrete pavements in terms of LTE is proposed. In the proposed test method, conventional standard flexural strength test beam specimens (100×100× 500mm) are used for understanding the performance of aggregate interlocking of PQC mix specimens prepared using coarse aggregates of different NMAS and with addition of both micro and macro fibers. The test setup is also modelled in ANSYS FE software. The experimentally obtained LTE is compared with the LTE obtained from the FE model. The field FWD test is conducted for validation. The relative movement is determined from FWD test, and corresponding LTE is determined using the LTE and RM relationship obtained from experimental results using the proposed test apparatus. There exists good linear fit between the LTE determined using proposed test and field FWD test results. © 2024 Informa UK Limited, trading as Taylor & Francis Group.