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Parallel system reliability analysis with a CECBO algorithm

STRUCTURAL AND MULTIDISCIPLINARY OPTIMIZATION 2021年第1期64卷 71-88页

作者： Cheng, Jiaming Zhao, Wei Jinan Univ Sch Mech & Construct Engn MOE Key Lab Disaster Forecast & Control Engn Guangzhou 510632 Peoples R China

The existing engineering structural system is featured by complicated limit state functions of high nonlinearity, resulting in the conventional reliability analysis approach that is unable to evaluate these problems accurately or even unavailable. Various analytical methods have been presented by researchers over the past decades. However, these methods have difficulties in striking a balance between accuracy and computational efficiency. This paper proposes a relatively efficient and accurate procedure to estimate the failure probability of the parallel system based on the FORM and a new metaheuristic algorithm, chaotic enhanced colliding bodies optimization algorithm (CECBO). The CECBO has shown robustness, high accuracy, and implementation simplicity for solving optimization problems from previous work. Thus, the CECBO is employed to search the point of maximum likelihood (PML), a point that yields the highest value of the probability density function in the failure domain, through solving an optimization model and then approximates the failure domain of the parallel system to estimate the failure probability accurately. The results of the test examples indicate that the proposed procedure is promising for the estimation of the failure probability of a parallel system in terms of accuracy and efficiency.

关键词： Enhanced colliding bodies optimization (ECBO) Point of maximum likelihood (PML) Chaos System reliability

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Effect of incorporating recycled macro fibres on the properties of ultra-high-performance seawater sea-sand concrete

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JOURNAL OF BUILDING engineering 2024年 83卷

作者： Fu, Bing Lin, L. B. Zhou, X. You, X. M. Deng, D. Y. Jinan Univ Sch Mech & Construct Engn Guangzhou 510632 Peoples R China Jinan Univ MOE Key Lab Disaster Forecast & Control Engn Guangzhou 510632 Peoples R China Southeast Univ Sch Civil Engn Nanjing 210096 Peoples R China China Construct Steel Engn Co Ltd Shenzhen 518057 Peoples R China

Ultra-high-performance concrete (UHPC) is an ideal material for constructing marine infrastructures, but faces obstacles such as limited local raw materials (i.e., freshwater and riversand) and corrosion of steel reinforcement. Non-metallic reinforcement is preferable for reinforcing marine UHPC, especially when seawater and sea-sand are used to develop ultra-highperformance seawater sea-sand concrete (USSC). Recently, the authors' group proposed a costefficient UHPC reinforced with discrete macro fibres mechanically processed from waste glass fibre-reinforced polymer (GFRP) composites. This present study aimed to explore the potential application of incorporating macro fibres in USSC. A series of tests were conducted to investigate the fundamental properties of macro fibre reinforced USSC with the examined variables including the content (0 %, 2 %, 4 %, and 6 %) and lengths (30 mm and 60 mm) of macro fibres. Comparisons were made between USSC and UHPC with river-sand and freshwater (UTRC), which were both reinforced with macro fibres. The results revealed that incorporating macro fibres in USSC improved the compressive toughness index (CTI) and flexural toughness by up to 84.00 % and 40.15 times respectively, but decreased the workability and compressive strength by up to 42.22 % and 21.45 % respectively. The effect of incorporating macro fibres on the properties of USSC was more prominent than that of its counterpart of UTRC. A theoretical model was then developed for predicting the flexural toughness of various concrete with macro fibres based on the regression analysis on the available test results.

关键词： Ultra-high-performance concrete Ultra-high-performance seawater sea-sand concrete Recycling Glass fibre-reinforced polymer (GFRP) waste Macro fibres

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A-stable linear two-step time integration methods with consistent starting and their equivalent single-step methods in structural dynamics analysis

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INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN engineering 2021年第9期122卷 2312-2359页

作者： Zhang, Jie Jinan Univ MOE Key Lab Disaster Forecast & Control Engn Sch Mech & Construct Engn Guangzhou 510632 Peoples R China

A spectral consistent starting procedure is proposed for the first-order-type A-stable linear two-step (LTS) time integration methods in structural dynamics analysis. The accuracy analysis for the LTS methods in structural dynamics is presented based on the first-order model, which enables the algorithms in first-order transient systems to be extended to structural dynamics under the umbrella of a consistent framework. It is indicated that the approximation of the loads plays an essential role in the equivalence between the LTS methods and some single-step methods. An algorithmic equivalence feature, which is stricter than the spectral equivalence, is revealed between the two-leg generalized-alpha methods in first-order systems and the A-stable LTS methods. The measures of the error constant in the LTS methods and the ultimate spectral radius are extended to optimize a class of single-step methods of a given convergence order. The spectral consistent starting procedure for the A-stable LTS methods is developed by utilizing the algorithmic equivalence of the single-step methods, which results in an optimal A-stable LTS (OALTS) method possessing a consistent spectral radius with controllable numerical dissipation in the starting step and the steps thereafter. Comparing with the equivalent single-step methods, the present OALTS method does not need the auxiliary variables, and its displacement, velocity and acceleration can achieve second-order accuracy simultaneously. The performance of the present OALTS method is verified by numerical examples including physical damping, external loads, and/or nonlinearity.

关键词： accuracy analysis numerical dissipation stability structural dynamics time integration

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Structural Damage Identification Based on Quadratic Optimization of Objective Functions with Modal Residual Force and Weighting Strategy

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JOURNAL OF AEROSPACE engineering 2024年第1期37卷 04023089-04023089页

作者： Li, Jiawei Yu, Ling Qi, Tengrun Chen, Yuhan Jinan Univ Sch Mech & Construct Engn Key Lab Disaster Forecast & Control Engn Minist Educ MOE Guangzhou 510632 Peoples R China

Structural damage identification (SDI), an important issue in the field of structural health monitoring (SHM), is usually converted into a constrained optimization problem. However, the conventional objective functions defined by natural frequencies and mode shapes are insensitive enough to structural damage. To tackle this problem, this study proposed a new SDI method based on quadratic optimization of objective functions with both modal residual force and weighting strategy. First, a new structural damage index was constructed by Taylor expansion and sensitive matrix analysis about the modal residual force with respect to damage factor, and then the new index was introduced into a new objective function together with the frequency and mode shape. Then, to balance the magnitude effects of each term in objective functions, a weighting strategy was introduced to define the second new objective function for higher SDI accuracy and robustness to noise. The two proposed objective functions were further solved for SDI with a novel metaheuristic optimization technique, the whale optimization algorithm (WOA). To evaluate the effectiveness of the proposed SDI method, numerical simulations on a simply supported beam and a truss structure, as well as various experimental verifications on a simply supported beam in the laboratory, were carried out. The results show that the proposed SDI method outperforms the traditional method with a higher SDI accuracy and robustness to noise, and the second objective function is more suitable for multiple damage identification in complex structures.

关键词： Structural damage identification (SDI) Modal residual force Weighting strategy Objective function optimization Structural health monitoring (SHM) Whale optimization algorithm (WOA)

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A Broyden-Fletcher-Goldfarb-Shanno algorithm for reliability-based design optimization

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APPLIED MATHEMATICAL MODELLING 2021年 92卷 447-465页

作者： Zhao, Wei Jinan Univ Sch Mech & Construct Engn MOE Key Lab Disaster Forecast & Control Engn Guangzhou 510632 Peoples R China

Classic mean value methods of performance measure approach in reliability-based design optimization may become computationally challenging due to their instability and inefficiency as the degree of nonlinearity grows in problems. In this paper, sequential quadratic programming method associated with the Broyden-Fletcher-Goldfarb-Shanno algorithm is introduced to take information about the curvature of the performance function into account and determine the search direction of the minimum performance target point within the performance measure approach. A new mean value method of performance measure approach is developed in accordance with the search direction defined by a technique akin to the non-monotone line search of globalization strategy in the unconstrained optimization problem. The minimum performance target point, on the one hand, is rapidly located in the local domain along the search direction by the steepest descend method, and on the other hand, globally explored along a direction from the origin with exponentially decreasing step sizes. The behavior of the proposed method is illustrated and compared with some other existing algorithms through two reliability examples with highly-nonlinear performance functions and two representative reliability-based design optimization problems in engineering practice. The results show that the proposed method is robust, accurate and efficient with relatively less iterations in contrast with the other representative algorithms of performance measure approach in the literature. (c) 2020 Elsevier Inc. All rights reserved.

关键词： Broyden-Fletcher-Goldfarb-Shanno algorithm Reliability-based design optimization Performance measure approach The minimum performance target point Mean value method

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Intrinsic bending stiffness of narrow graphene nanoribbons from quantum mechanics lattice dynamics calculations

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MOLECULAR SIMULATION 2021年第7期47卷 560-564页

作者： Lin, Z. Kuang, Y. Hu, N. Jinan Univ Sch Mech & Construct Engn MOE Key Lab Disaster Forecast & Control Engn Guangzhou Peoples R China

The bending stiffness is a key quantity to determine mechanical bending behaviours, thermodynamical stability and even electronic transports of Graphene nanoribbons (GNRs). Using quantum mechanics lattice dynamics calculations, we characterise chirality and width dependent bending stiffness of GNRs. The results show that, in the width range (<1.6 nm) considered, out-of-plane bending stiffness of zigzag graphene nanoribbon is 17.5% larger than that of armchair graphene nanoribbon with the same width whereas their in-plane bending stiffness is very close and tend to coincide with an increase of width. These trends are attributed to differences in microscopic deformation mechanisms. We also find that, for the narrowest graphene nanoribbon, that is, polyethylene and polyacetylene, the latter has much higher out-of-plane and in-plane bending stiffness than the former.

关键词： Intrinsic bending stiffness graphene nanoribbons quantum mechanics lattice dynamics calculations

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Theoretical analysis and numerical simulation of axial tensile behavior of pipe joints based on bi-linear cohesive bond-slip model

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engineering COMPUTATIONS 2023年第7/8期40卷 1633-1660页

作者： Yuan, Hong Han, Jun Lu, Huaqiang Li, Junhui Zeng, Lan Jinan Univ Sch Mech & Construction Engn MOE Key Lab Disaster Forecast & Control Engn Guangzhou Peoples R China Guangzhou Inst Sci & Technol Sch Architectural Engn Guangzhou Peoples R China Foshan Univ Sch Transportat Civil Engn & Architecture Foshan Peoples R China

PurposeDue to its inexpensive production costs, low stress concentration and maintenance-friendliness, the adhesive bonded pipe joint is frequently utilized for pipe connection. However, further theoretical analysis is needed to understand the debonding failure mechanism of such bonded pipe joints under axial ***/methodology/approachIn this study, based on the bi-linear cohesive zone model, the integrated closed-form solutions were derived by considering the axial stiffness ratio and failure stage to determine the relative interfacial slip, interfacial shear stress and relationship of tension-displacement in the bonded pipe ***, solutions for the critical bonded length and the ultimate load capacity were put forth. Besides, the numerical study was conducted to verify the theoretical solutions regarding the load-displacement relationship. The interfacial shear stress distribution at different failure stages was presented to understand the interfacial shear stress transmission and debonding process. The effect of bonded length on the ultimate load and ductility of pipe joints was also ***/valueThe findings in this study can give a reference for the design of bonded pipe joints in their actual engineering applications.

关键词： Bonded pipe joint Bi-linear cohesive zone model Stress analysis Debonding criteria Axial tension

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Mixed Teaching Pattern Exploration Integrating Online and Offline Platforms Oriented to Continuous Improvement for engineering Accreditation: Practice in computer programming course as a presentation case 13

Mixed Teaching Pattern Exploration Integrating Online and Of...

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13th International Conference on Education Technology and Computers, ICETC 2021

作者： Zhao, Wei Key Laboratory of Disaster Forecast and Control in Engineering Jinan University China

ISBN: (纸本)9781450385114

Computer programming is a practical basic course. In order to implement the teaching method based on the concept of engineering accreditation, this paper explores the fixed teaching pattern integrating multiple online and offline platforms in the computer programming course, and gives a reasonable course evaluation system. In accordance with the support of this course on the core quality of talents required in engineering accreditation, the course objectives, the teaching activities and implementation method are respectively established in the three stages of the class, namely, pre class, in class and after class, shifting from teaching to learning as the center of the class. A suit of teaching method integrating multiple online and offline platforms in computer programming course under the new pattern is constructed, which can not only achieve good teaching effect, cultivate students' high-level thinking and abilities, but also help to find the weakness for purpose of continuous improvement oriented to engineering accreditation. © 2021 ACM.

关键词： Teaching

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Reliability analysis for product package via probability density function of acceleration random response

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JOURNAL OF VIBRATION AND control 2024年第7-8期30卷 1841-1854页

作者： Yang, Song-Ping Liu, Zi-Chen Jinan Univ Guangdong Higher Educ Inst Coll Packaging Engn Key Lab Prod Packaging & Logist Zhuhai Peoples R China Jinan Univ Sch Mech & Construction Engn MOE Key Lab Disaster Forecast & Control Engn Guangzhou Peoples R China Jinan Univ Jinan Univ Univ Birmingham Joint Inst Guangzhou Peoples R China Jinan Univ Guangdong Higher Educ Inst Coll Packaging Engn Key Lab Prod Packaging & Logist Qianshan Rd 206 Zhuhai 519070 Peoples R China

Analytical probability density function of acceleration random response for cubic nonlinear product package has seldomly been investigated due to the difficulty of solving nonlinear random problem and less attention paid to the acceleration response. In this paper, the analytical solution for the probability density function of linear package acceleration response under random vibration is obtained, and on this basis, the equivalent linearization method is introduced to further explore the approximate analytical solution of acceleration response probability density function for cubic nonlinear product package under random vibration. Some suggestions on packaging optimal design are given by analyzing the sensitivity of acceleration random response to the external excitation and system parameters, and the first-passage failure probability for the acceleration response of cubic nonlinear package under random vibration is analyzed. The results show that the equivalent linearization method can precisely predict the acceleration response probability density function for the cubic nonlinear package under certain conditions, and the applicable range of the method is given by the equivalent stiffness formula. Nonlinear characteristic parameter ? of the cubic package activates acceleration response a completely different trend from the quasi-linear system. Properly increasing the system stiffness and decreasing the damping ratio can effectively reduce the acceleration response strength of the product package. As the vibration time increases and the product fragility decreases, the first-passage failure probability of the product package increases. The analysis provides theoretical foundation and guidance for packaging optimization design.

关键词： Product package cubic nonlinear acceleration random response probability density function reliability analysis

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Machine learning-based optimization design of bistable curved shell structures with variable thickness

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STRUCTURES 2023年 52卷 175-186页

作者： Liu, Junbang Chang, Jinke Yu, Jizhou Zhang, Wenhua Huang, Shiqing Jinan Univ MOE Key Lab Disaster Forecast & Control Engn Guangzhou 510632 Peoples R China Jinan Univ Sch Mech & Construction Engn Guangzhou 510630 Peoples R China UCL Div Surg & Intervent Sci London NW3 2PF England

The mechanical performance of curved shell structures is difficult to predict due to their complex geometric nonlinearity. There have been many efforts to improve the mechanical property of curved shell structures by designing the thickness distributions. However, due to the nonlinear characteristics of variable-thickness shells, it is impossible to exhaust all possible structural forms through experimental and theoretical approaches. In this paper, we report a new machine learning (ML)-based approach to design and optimize bistable curved shell structures. The ML model is used to establish the underlying mapping relationship between structural parameters and specific performance. Nonlinear shell structures are efficiently and accurately designed and optimized with optimal backward snapping forces (B). The results demonstrate an effective approach for the design and opti-mization of curved shell structures and provide a valuable reference for future study of nonlinear structures. Moreover, this approach presents an efficient means of designing advanced metamaterials. The modular design of meta-atoms based on ML has the potential to construct metamaterials with specific properties and function-alities, which will lead to extensive applications in different fields.

关键词： Curved shell Bistable Backward snapping force Structural optimization Machine learning

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