Optimal Plastic Analysis and Design of Pile Foundations Under Reliable Conditions

Rad, Majid Movahedi; Ibrahim, Sarah Khaleel

doi:10.3311/ppci.17402

Cited by 5 publications

(5 citation statements)

References 24 publications

(30 reference statements)

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“…This theory takes into consideration applying a limitation on the plastic deformation created within steel bars by defining the complementary strain energy which was applied and developed by different previous studies 17 , 20 – 22 . Using the Euler notation, consider a body constructed of an elastic–plastic material that is not affected by time or temperature and has a volume and a surface .…”

Section: Application Of the Theory Of Limited Residual Plastic Deform...mentioning

confidence: 99%

Elasto-plastic analysis and optimal design of composite integral abutment bridge extended with limited residual plastic deformation

Rad

Papp

Ibrahim

et al. 2023

Sci Rep

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Due to the growing significance of structural theories concerning the composite structure analysed and designed plastically, this paper introduces a new optimisation method for controlling the plastic behaviour of a full-scale composite integral abutment bridge by employing complementary strain energy of residual forces that existed within the reinforcing rebars. Composite bridges are structures made of components such as steel and concrete, which are frequent and cost-effective building methods. Thus, various objective functions were used in this work when applying optimum elasto-plastic analysing and designing the composite integrated bridge structure that was tested experimentally in the laboratory. In contrast, the plastic deformations were constrained by restricting the complementary strain energy of the residual internal forces aiming to find the maximum applied load and the minimum number of steel bars used to reinforce the concrete column part of the structure. The numerical model employed in this paper was validated and calibrated using experimental results, which were considered inside ABAQUS to produce the validated numerical model, using concrete damage plasticity (CDP) constitutive model and concrete data from laboratory testing to solve the nonlinear programming code provided by the authors. This paper presents a novel optimization method using complementary strain energy to control the plastic behaviour of a full-scale composite integral abutment bridge, with the original contribution being the incorporation of residual forces within reinforcing rebars to limit plastic deformations. Following that, a parametric investigation of the various optimisation problems revealed how models performed variously under different complementary strain energy values, which influenced the general behaviour of the structure as it transitioned from elastic to elasto-plastic to plastic; also results showed how the complementary strain energy value is connected with the amount of damaged accrued in both concrete and steel.

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Section: Application Of the Theory Of Limited Residual Plastic Deform...mentioning

confidence: 99%

Elasto-plastic analysis and optimal design of composite integral abutment bridge extended with limited residual plastic deformation

Rad

Papp

Ibrahim

et al. 2023

Sci Rep

View full text Add to dashboard Cite

show abstract

“…This technique is employed in plastic analysis and design. It accounts for residual stresses by utilising complementary strain energy, which has been effectively applied to various structures [13][14][15][16]. To account for the strain energy of residual forces as a thorough evaluation of plastic behaviour, a suitable computational technique was devised for use where such energy quantity limits are required to govern residual deformations.…”

Section: Principle Of Plasticity-based Behaviour Restrictionmentioning

confidence: 99%

Optimal Plastic Reliable Design of Reinforced Concrete Beams Considering Steel Bars Volume Probability

Ibrahim

Rad

2023

Mathematics

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This paper aims to investigate the plastic response of reinforced concrete tapered beams when subjected to random steel reinforcement volumes, using both deterministic and probabilistic analyses, with the complementary strain energy as a boundary in the first case, and the reliability index as a boundary in the second. The first step in this study was to use a previously studied model and perform a deterministic analysis, assuming that the complementary strain energy is a limiting factor and controller of the plastic behaviour. Next, a probabilistic analysis is applied, with the reliability index as a limitation. At the same time, the volume of the reinforcement steel used, and the complementary strain energy were treated as probabilistic variables with mean values and specific standard deviations. This novel method highlighted the plastic behaviour limiting procedure and provided results that highlighted the nature of the model’s changed behaviour when the complementary strain energy was controlled and when applying probabilistic properties with reliability index limitation.

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“…It has also been used in a variety of optimization projects, including training feed-forward neural networks [47], real-valued antenna and microwave design problems [48], and large-scale black-box optimization [49]. The bi-directional evolutionary structural optimization (BESO) approach proposed by Huang and Xie [50] has been applied successfully to some engineering optimization problems, such as the optimal plastic design of pile foundations [51], elastoplastic limit analysis of reliability-based topology optimization [52], and reliabilitybased topology optimization of geometrically nonlinear elastoplastic models [53]. Other well-known EA-based algorithms have proven their worth in a variety of optimization problems, including Evolution Strategy (ES), Genetic Programming (GP), Biogeography Based Optimizer (BBO) [54], Evolutionary Programming (EP) [55], and Virulence Optimization Algorithm (VOA) [56].…”

Section: Evolutionary Algorithmsmentioning

confidence: 99%

White-Tailed Eagle Algorithm for Global Optimization and Low-Cost and Low-CO2 Emission Design of Retaining Structures

et al. 2022

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This study proposes a new metaheuristic optimization algorithm, namely the white-tailed eagle algorithm (WEA), for global optimization and optimum design of retaining structures. Metaheuristic optimization methods are now broadly implemented to address problems in a variety of scientific domains. These algorithms are typically inspired by the natural behavior of an agent, which can be humans, animals, plants, or any physical agent. However, a specific metaheuristic algorithm (MA) may not be able to find the optimal solution for every situation. As a result, researchers will aim to propose and discover new methods in order to identify the best solutions to a variety of problems. The white-tailed eagle algorithm (WEA) is a simple but effective nature-inspired algorithm inspired by the social life and hunting activity of white-tailed eagles. The WEA's hunting is divided into two phases. In the first phase (exploration), white-tailed eagles seek prey inside the searching region. The eagle goes inside the designated space according to the position of the best eagle to find the optimum hunting position (exploitation). The proposed approach is tested using 13 unimodal and multimodal benchmark test functions, and the results are compared to those obtained by some well-established optimization methods. In addition, the new algorithm automates the optimum design of retaining structures under seismic load, considering two objectives: economic cost and CO2 emissions. The results of the experiments and comparisons reveal that the WEA is a high-performance algorithm that can effectively explore the decision space and outperform almost all comparative algorithms in the majority of the problems.

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Optimal Plastic Analysis and Design of Pile Foundations Under Reliable Conditions

Cited by 5 publications

References 24 publications

Elasto-plastic analysis and optimal design of composite integral abutment bridge extended with limited residual plastic deformation

Elasto-plastic analysis and optimal design of composite integral abutment bridge extended with limited residual plastic deformation

Optimal Plastic Reliable Design of Reinforced Concrete Beams Considering Steel Bars Volume Probability

White-Tailed Eagle Algorithm for Global Optimization and Low-Cost and Low-CO2 Emission Design of Retaining Structures

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