Machine learning-aided multi-objective optimization of structures with hybrid braces – Framework and case study

Fang, Cheng; Ping, Yiwei; Gao, Yuqing; Zheng, Yue; Chen, Yiyi

doi:10.1016/j.engstruct.2022.114808

Cited by 20 publications

(3 citation statements)

References 60 publications

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“…The results obtained by employing the proposed approach are contrasted with those obtained by employing conventional design strategies in a case study of a structure with hybrid braces. [11] The optimization problem's size is reduced and computational e ciency is improved through the use of a grouping strategy and a fully stressed design approach in this paper. Under various loading conditions and design constraints, including minimum weight and maximum stress, the study investigates the e cacy of the proposed method in optimizing steel skeletal structures.…”

Section: Analytical Optimizationmentioning

confidence: 99%

Design optimization of FPSO Topside Module for InPlace, Lift and Weighing conditions

Yadhav

Kulkarni

2023

Preprint

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Traditional structural design work involves repeated modeling, which is a tedious and time-consuming activity. To solve such problems, optimization of structural elements by using the UC ratio along with grouping is proposed. In the design of the offshore floating platform, optimization methods find out minimum weight solutions for the structure. However, due to the high diversity of profiles cost raises a lot. By doing the optimization in a grouping by UC ratio technique provides the unique optimal solution. The current study proposes an approach for reliability-based optimal design of FPSO structure. The current study comments on the optimized design of Topside FPSO structural assembly for various load conditions like Production tank pressure loads, Equipment loads, Piping loads, Electrical and Instrumentation load, girder deformation loads, Wind load, etc. Both Normal Operating and Extreme Operating conditions are taken by considering the effects of hull flexibility along with wind and motion-induced accelerations. The analysis and design optimization are performed in the STAAD Pro tool by selecting the least weight as an objective function while obeying the design constraints as per API standards. Optimization performed based upon Utility Check ratio in STAAD Pro tool. With analysis models constructed as described above, module primary structure design can be iteratively “unity-check-optimized”. By implication given method, optimized member unity checks (UCs) translate into optimized weight and hence cost optimization.

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Section: Analytical Optimizationmentioning

confidence: 99%

Design optimization of FPSO Topside Module for InPlace, Lift and Weighing conditions

Yadhav

Kulkarni

2023

Preprint

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“…In parallel to the emerging structural control technologies, performance-based seismic design (PBSD) is also rapidly evolving (Fang et al, 2021, 2022c; Ping et al, 2021). The PBSD framework proposed by the Pacific Earthquake Engineering Research (PEER) Center provides decision-makers with a more scientific tool to predict the structural performance by connecting the design objective to the client’s goal in a probabilistic fashion (Dong and Frangopol, 2015).…”

Section: Introductionmentioning

confidence: 99%

Performance-based life-cycle assessments of a resilient bridge system equipped with smart bearings

Liang

You

et al. 2022

Journal of Intelligent Material Systems and Structures

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A resilient bridge system with smart bearings, that is, shape memory alloy (SMA)-cable-based bearings, is proposed. Its superior resilience property over the conventional bridge system still lacks a practical assessment approach. This paper aims to conduct a comparative performance assessment of both resilient and conventional bridge systems regarding fragility and life-cycle loss aspects. The quasi-static test on the smart bearing prototype is firstly conducted. The cloud method is subsequently utilized to carry out a fragility assessment on the bridge system with uncertainties (e.g. damping, mass, friction factor, and length of slack cable). The result shows that the damage probabilities of the smart bearing at component level and the resilient bridge at system level are both dramatically alleviated although there is a moderate increase of the reinforced concrete pier at component level. Additionally, the analysis result reveals that the life-cycle economic loss of the resilient bridge system is remarkably reduced only at the cost of a slight increment in construction. This study tries to provide decision-makers with a more comprehensive understanding of the seismic superiority of the proposed resilient bridge system with smart bearings and to promote its application in engineering practice for resilience enhancement.

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“…Projects often have a significant economic impact and concerns regarding their environmental and social impact, given the large scale of these projects. One example is structure design problems, where researchers have been using multi-objective strategies to find optimal solutions [321]. Ghasemof et al [322] have applied multi-objective optimization (MOO) to achieve a performance-based design for buildings.…”

Section: Introductionmentioning

confidence: 99%

Optimal Deep Learning Assisted Design of Socially and Environmentally Efficient Steel Concrete Composite Bridges under Constrained Budgets

Martínez Muñoz

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Steel-concrete composite bridges are used as an alternative to concrete bridges because of their ability to adapt their geometry to design constraints and the possibility of reusing some of the materials in the structure. In this review, we report the research carried out on the design, behavior, optimization, construction processes, maintenance, impact assessment, and decision-making techniques of composite bridges in order to arrive at a complete design approach. In addition to a qualitative analysis, a multivariate analysis is used to identify knowledge gaps related to bridge design and to detect trends in research. An additional objective is to make visible the gaps in the sustainable design of composite steel-concrete bridges, which allows us to focus on future research studies. The results of this work show how researchers have concentrated their studies on the preliminary design of bridges with a mainly economic approach, while at a global level, concern is directed towards the search for sustainable solutions. It is found that life cycle impact assessment and decisionmaking strategies allow bridge managers to improve decision-making, particularly at the end of the life cycle of composite bridges.

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Machine learning-aided multi-objective optimization of structures with hybrid braces – Framework and case study

Cited by 20 publications

References 60 publications

Design optimization of FPSO Topside Module for InPlace, Lift and Weighing conditions

Design optimization of FPSO Topside Module for InPlace, Lift and Weighing conditions

Performance-based life-cycle assessments of a resilient bridge system equipped with smart bearings

Optimal Deep Learning Assisted Design of Socially and Environmentally Efficient Steel Concrete Composite Bridges under Constrained Budgets

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