MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

The repetitive modelling required for traditional structural design work is a laborious and time-consuming task. Yet, the cost significantly increases due to the wide variety of profiles. It is suggested to use grouping technique along with algorithms to optimize structural elements in order to address these issues. In this paper, two meta-heuristic algorithms viz; Cuckoo Search algorithm and Thermal Exchange Optimization algorithm are employed for weight optimization of FPSO supporting structure. These algorithms identify the structure’s least weight for the offshore floating platform design. The current work suggests a method for FPSO structure design that is reliability-based and optimal. The current study discusses the optimized design of the topside FPSO structural assembly for various load conditions, such as production tank pressure loads, equipment loads, piping loads, electrical and instrumentation loads, girder deformation loads, wind load, and so on. The effects of hull flexibility, as well as wind and motion-induced accelerations, are considered for both Normal Operating and Extreme Operating conditions. The analysis and design optimization are carried out in the STAAD Pro and analytical tool by selecting the least weight as an objective function while adhering to the API design constraints on displacement and stress limits. Module primary structure design can be iteratively “optimized” using the algorithm and stress ratio as described above. By implication, the algorithms, FPSO supporting structure translates into optimal design, resulting in cost savings. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

School of Civil Engineering

Engineering and Technology

World University root node

Asian Journal of Civil Engineering

Optimal design of FPSO topside module for in-place, lift and weighing conditions utilizing meta-heuristic optimization algorithms

Sustainable building projects gained momentum in the last decade, and the trend continues. It is important to explore the factors affecting the sustainable building delivery process for concentrating on these factors and pace up the sustainability approach. Building information modelling (BIM) has developed as the definitive technology for managing construction projects. BIM technology has features like accuracy and precision that helps in improving the quality of construction. Green building construction methods and Lean construction are the methods that help to improve sustainability and reduce waste generated during construction. In this article, the author would like to propose a methodological framework that comprises BIM, Green building methods, and Lean methods. After implementation author is hoping to optimize resource utilization, monitor, and measure the construction progress and construction payment procedures. The author is believing that after the implementation of the framework, a virtual environment is prepared which brings more accountability in resource usage and tracking of project progress. Work also highlights the differentiating aspects of sustainable building projects regarding project phases and makes recommendations about the timing of services, such as value engineering, constructability analysis, technology integration, and construction management. The author considers one case study of a residential building and prepared a 3D model using BIM. Further, the author put lean tools and LEED-based methodology to produce the standard operating procedure for the case study considered. Then, a virtual environment is prepared using the 3D model in BIM, and the methodology is considered. This environment was tested from time to time with the actual execution of the project to claim the validity of the proposed model. © 2023 Elsevier Ltd. All rights reserved.

Materials Today: Proceedings

Sustainable construction by using novel frameworks using BIM, LEED, and Lean methods

Standard structural design work, is a challenging and time-consuming operation. However, the cost increases significantly since there are so many varied blast characteristics. To solve these problems, it is suggested that structural elements be optimised using algorithms. This work employs two meta-heuristic methods to increase the size of concrete frame constructions. These algorithms identify the structures that have the blast design's lowest weight. Meta-heuristic algorithms are used to tackle optimization problems in many disciplines, including computer science and engineering. To optimize the size of concrete frame structures, two population-based meta-heuristic techniques are applied in this study. The Artificial Bee Colony algorithm and the Cuckoo Search algorithm are these algorithms. Optimization is utilised to reduce the weight of concrete frame constructions while still upholding various displacement constraints. The G + 8 model is vulnerable to blast loading with 2.0 tonnes of TNT while being less than 15 m from the detonation area. The choice to employ the blast load in line with IS:4991-1968 was decided. The Nonlinear analysis is carried out using a piece of software named ETABS. The analysis and design optimization are done in the ETABS by choosing the least weight of structure as the objective function. The analytical tool complies with the displacement and drift constraints set forth in the blast design. Multiple "optimizations" of the modules are possible to the procedure. The algorithms' presumptive blast structure generates the optimal design while lowering expenses. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

Nonlinear behaviour of a reinforced concrete building subjected to blast load and optimisation using a meta-heuristic algorithm

Technological advancement in civil engineering is directly related to people's living conditions. When there is the development of thought processes related to sustainable development, the solutions for the implementation of Sustainable Development Goals (SDGs) are in technological advancement. 2D drawings were used in the early days of civil engineering to guide the client regarding the project design. Most clients do not have the ability to visualize their project before it comes to fruition. The solution to this problem is the use of Augmented Reality (AR) and Virtual Reality (VR). VR can help the client by being able to experience the project in a virtual model, which will enable him to evaluate the design & decide if it meets their requirements. Building Information Modeling (BIM) is also a strongly emerging technology that improves the clarity of communication between project teams. It ultimately helps in reducing the risk & provides better efficiency for the project. Technologies like precast construction deal with waste reduction for building materials. The process of assembling various precast building structural elements, such as columns, beams, and slabs, with appropriate connecting systems that can endure gravity (both a dead and live load) and lateral forces are known as precast building (wind and seismic loads). It benefited the construction sector with a more sustainable approach. This paper tries to focus on the developing construction technologies which are helping the projects to go green. Eventually these technological advancements will increase the efficiency of the project in terms of cost, quality, and time management. © 2022