Conference Papers

Permanent URI for this collectionhttps://idr.nitk.ac.in/handle/123456789/28506

Browse

Filters

2020 - 20233

Settings

Subject: search.filters.subject.Compliance

Search Results

Now showing 1 - 3 of 3
  • No Thumbnail Available
    Item
    Topology Optimization of Concrete Dapped Beams Under Multiple Constraints
    (Springer, 2020) Resmy, V.R.; C, C.
    Topology optimization is now becoming the effective method for solving various problems related to engineering. Optimization is a mathematical method to find the optimum solution by satisfying all the constraints associated with that problem, while topology optimization is a branch of structural optimization as it finds optimum material layout within the given boundary. This study focuses on the topology optimization of concrete dapped beams with various constraints to ensure the applicability of topology optimization during the design phase of structures. Compliance minimization with three different constraints along with volume constraint has been selected to derive the truss-like pattern for beams. To derive a lightweight structure with stress constraint, volume-based topology optimization has adopted. Strut-and-tie modeling (STM) of concrete members has been identified as a powerful method for modeling discontinuity regions within the structural member. Topology optimization can be used as a supporting method for developing more reliable strut-and-tie models. © Springer Nature Singapore Pte Ltd. 2020.
  • No Thumbnail Available
    Item
    Evolutionary Topology Optimization of Structural Concrete Under Various Load Cases
    (Springer Science and Business Media Deutschland GmbH, 2021) Resmy, V.R.; C, C.
    Topology optimization has wide applications in the field of engineering as it derives the optimum material layout in a given design space with defined loads and boundary conditions. This article presents the topology optimization of structural concrete with different load cases using a bidirectional evolutionary structural optimization method (BESO). BESO method has several advantages over other optimization methods as it removes inefficient elements and adds efficient elements in each iteration. The methodology adopts the compliance minimization with volume constraint by utilizing the capabilities of ABAQUS finite element software. Strut and Tie model (STM) has been identified as an effective method in modeling discontinuity regions in reinforced concrete structures as it can find out the real load transfer mechanism in structures. With the aid of topology optimization, all the uncertainties related to STM can be avoided. © 2021, Springer Nature Singapore Pte Ltd.
  • No Thumbnail Available
    Item
    Game Theoretic Approach for Electric Vehicles Charging Solution: A Study of the Interplay between Time, Price and Location
    (Institute of Electrical and Electronics Engineers Inc., 2023) Patel, J.; Manjappa, M.
    Due to their potential in lowering gas emissions, the number of Electric Vehicles, which are eco-friendly, has rapidly increased in recent years and they have achieved immense popularity, creating a lot of interest in the industry and research. But, finding a Charging Station during critical low battery situations is a difficult time for Electric Vehicle users. In an Intelligent Transport System, the goal of each Electric Vehicles is to choose the Charging Station with the lowest cost by taking into account the location, charging rate, and other parameters whereas the goal of a Charging Station is to maximize its revenue by increasing its price based on the number of vehicles waiting in the Charging Station. We employ a multi-leader multi-follower Stackelberg game model to interplay between the Electric Vehicles and Charging Stations, in which location, waiting time, and price factor are considered as parameters. To find the best CS for EVs we formulate our own cost function by considering real-life parameters like the distance of the EV to the CS, waiting time at the station, time to charge the battery, price of unit charge, state of EV charging. The performance of the proposed approach is demonstrated by experiments with different EV densities, their need (units required to charge the battery), and preferences. The results are encouraging. © 2023 IEEE.