Bridge topology optimization considering stochastic moving traffic

Golecki, Thomas; Gómez, Fernando; Carrion, Juan; Spencer, Billie F.

doi:10.1016/j.engstruct.2023.116498

Cited by 8 publications

(3 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the SIMP approach has been widely used in a number of recent studies to address problems related to real engineering structures. These include Ma et al (2023) [31], with an application of TO for ribbed slabs and shells; Golecki et al (2023) [32], with a bridge TO; and Shah et al (2023) [33], with a vehicle chassis TO. The SIMP approach is used in this article to solve various TO problems.…”

Section: Introduction 1topology Optimization (To)mentioning

confidence: 99%

Bisection Constraint Method for Multiple-Loading Conditions in Structural Topology Optimization

Pham-Truong,

Kawamura,

Okada

2023

Applied Sciences

View full text Add to dashboard Cite

Topology optimization (TO) is currently a focal point for researchers in the field of structural optimization, with most studies concentrating on single-loading conditions. However, real engineering structures often have to work under various loading conditions. Approaches addressing multiple-loading conditions often necessitate subjective input in order to determine the importance of each loading condition, aiming for a compromise between them. This paper proposes a so-called bisection constraint method (BCM), offering a unique, user-preference-independent solution for TO problems amidst multiple-loading conditions. It is well-known that minimizing the system’s compliance is commonly used in TO as the objective. Generally, compliance is not as sufficient as stress to be used as a response to evaluate the performance of structures. However, formulations focusing on minimizing stress levels usually pose significant difficulties and instabilities. On the other hand, the compliance approach is generally simpler and more capable of providing relatively sturdy designs. Hence, the formulation of min–max compliance is used as the target problem formulation of the proposed method. This method attempts to minimize compliance under only one loading condition while compliances under the remaining loading conditions are constrained. During the optimization process, the optimization problem is automatically reformulated with a new objective function and a new set of constraint functions. The role of compliance under different loading conditions, i.e., whether it is to be treated as an objective or constraint function, might be changed throughout the optimization process until convergence. Several examples based on the solid isotropic material with penalization (SIMP) approach were conducted to illustrate the validity of the proposed method. Furthermore, the general effectiveness of the compliance approach in terms of stress levels is also discussed. The calculation results demonstrated that while the compliance approach is effective in several cases, it proves ineffective in certain scenarios.

show abstract

Section: Introduction 1topology Optimization (To)mentioning

confidence: 99%

Bisection Constraint Method for Multiple-Loading Conditions in Structural Topology Optimization

Pham-Truong,

Kawamura,

Okada

2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Li et al (2022) introduced a pioneering bridge design approach based on multi-material topology optimization, culminating in the creation of a novel bridge configuration. Golecki et al (2023) pioneered a bridge design methodology grounded in topology optimization, with the primary objective of minimizing the summation of nodal responses in the vertical degree of freedom at the floorbeam nodes under dynamic vehicle loads characterized by random dynamic attributes. Wang et al (2020) introduced enhancement procedures utilizing windowing techniques, extending the capabilities of the traditional Evolutionary Structural Optimization (ESO) algorithm.…”

Section: Introductionmentioning

confidence: 99%

Stress-based topology optimization using BESO method with incremental structural nonlinear analysis

Zhang,

He,

Chen

et al. 2023

Preprint

View full text Add to dashboard Cite

To enhance the applicability of optimization methods in civil engineering, particularly for structural members utilizing cement-based materials like concrete, this study introduces a stress-based topology optimization approach employing the Bi-directional Evolutionary Structural Optimization (BESO) method in conjunction with incremental structural nonlinear analysis. The primary objective of this method is to minimize the peak equivalent stress experienced by the structural components. It relies on the utilization of the p-norm condensation function to approximate the peak equivalent stress, alongside the establishment of sensitivity through the adjoint method. This method has demonstrated its aptness in optimizing structures containing highly nonlinear material constituents. By configuring the p-value within a specified range of 4–6 during the optimization process, consistent achievement of solutions aligned with the predefined objectives, based on element sensitivity, is feasible. This sensitivity is derived by applying a filter to the initial sensitivity calculated from the stress outcomes of the incremental structural nonlinear analysis. Subsequently, the data is meticulously filtered to procure a more robust and dependable solution that aligns more closely with the overarching optimization objective.

show abstract

“…TOM is widely used in various fields, such as machinery and aviation [4]. Golecki et al [5] developed a new method for filtering white noise for random moving traffic loads. This can optimize bridge topology by directly minimizing response extremum to cope with random traffic loads.…”

Section: Introductionmentioning

confidence: 99%

Design of Radial Flow Channel Proton Exchange Membrane Fuel Cell Based on Topology Optimization

Qu,

Zhang,

Zhang

et al. 2023

Processes

View full text Add to dashboard Cite

In this paper, the flow channel of the radial proton exchange membrane fuel cell (PEMFC) is optimized by the topological optimization method. Using the SNOPT algorithm, a two-dimensional stable constant temperature model is freely constructed in the cyclic sector design domain. Topology optimization aims to maximize the efficiency of PEMFC and minimize the energy dissipation of reaction gas. We analyze radial topology flow channels’ mass transfer capacity and cell performance with different maximum volume constraints. The results show that under high current density, the performance of the optimized channel is significantly better than that of the traditional channel. Increasing the maximum volume constraint is beneficial for improving the mass transfer of PEMFC. At 0.6 V, the cell performance of Scheme 4 is 14.9% higher than the serpentine flow channel and 9.5% higher than the parallel flow channel. In addition, in the optimal selection, 3D simulation modeling is carried out for more accurate verification.

show abstract

Bridge topology optimization considering stochastic moving traffic

Cited by 8 publications

References 35 publications

Bisection Constraint Method for Multiple-Loading Conditions in Structural Topology Optimization

Bisection Constraint Method for Multiple-Loading Conditions in Structural Topology Optimization

Stress-based topology optimization using BESO method with incremental structural nonlinear analysis

Design of Radial Flow Channel Proton Exchange Membrane Fuel Cell Based on Topology Optimization

Contact Info

Product

Resources

About