Comparison of the reliability-based and safety factor methods for structural design

Wang, Xiaojun; Shi, Qinghe; Fan, Weichao; Wang, Ruixing

doi:10.1016/j.apm.2019.03.018

Cited by 53 publications

(18 citation statements)

References 37 publications

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“…As complexity grows, new approaches to account for uncertainties emerge, e.g. the comparison of the use of safety factors and reliability approach in structural design by Wang et al [23]. Currently, risk assessment is recognized as a formal process and the core of the risk management process as defined by ISO 31000 [10] and Aven [24] presents a detailed analysis of its foundations, as well as of the way in which uncertainties are involved in the different steps.…”

Section: Uncertainty In Risk Assessmentsmentioning

confidence: 99%

Uncertainty-based decision-making in fire safety: Analyzing the alternatives

Cadena

Osorio

Torero

et al. 2020

Journal of Loss Prevention in the Process Industries

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Large accidents throughout the 20 th century marked the development of safety fields in engineering, devoted to better identify hazards, understand risks and properly manage them. While many such fields evolved rather quickly and moved from a compliance to a risk-based approach, Fire Safety Engineering (FSE) experienced a significant delay in this transition. While the current performance-based approach to FSE provides flexibility and capitalizes on learning from accidental events and other engineering disciplines, FSE is still in many respects decades behind other safety fields and a key issue for the future is how FSE can account for uncertainty in the decision making process. This work provides an overview of the main alternatives to account for uncertainty in safety studies within the context of FSE, including traditional probabilistic analyses and emerging approaches such as strength of knowledge. An example is used to illustrate the impact of the uncertainty analysis on the results of a simplified fire safety assessment. A structured evaluation is performed on each alternative to assess its ease of implementation and communication. The outcome is a compendium of advantages and disadvantages of the alternatives that constitute a toolbox for fire safety engineers to configure and use within their fire risk assessments. Process safety engineers are expected to gain an understanding of the similar and important challenges of FSE, it being directly relevant for process risk management and fire risk management in administrative buildings.

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Section: Uncertainty In Risk Assessmentsmentioning

confidence: 99%

Uncertainty-based decision-making in fire safety: Analyzing the alternatives

Cadena

Osorio

Torero

et al. 2020

Journal of Loss Prevention in the Process Industries

View full text Add to dashboard Cite

show abstract

“…Thus, it is an alternate choice by using the relevant concepts of the non-probability set theory. In some kinds of literature (Rao and Berke, 1997; Wang et al ., 2019; Luo et al , 2020; Jiang et al , 2018) on uncertainty analysis and optimization interval numbers are used to represent uncertainty parameters according to non-probability set theory. Assuming that αI=true[α¯,α¯true] is an interval uncertain parameter, all samples are included in true[α¯,α¯true], where α and trueα¯ represent upper and lower bounds, respectively.…”

Section: Procedures Of Experimentsmentioning

confidence: 99%

“…Assuming that αI=true[α¯,α¯true] is an interval uncertain parameter, all samples are included in true[α¯,α¯true], where α and trueα¯ represent upper and lower bounds, respectively. To describe the mean value and dispersion of interval parameters α I , two concepts of mean value α c and radius α τ of interval parameters are generally introduced in Rao and Berke (1997), Wang et al . (2003), Luo et al (2020) and Jiang et al (2018).…”

Section: Procedures Of Experimentsmentioning

confidence: 99%

Experimental verification of robust topology optimization for compliant mechanism

Wang

Luo

Geng

2020

RPJ

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Purpose This paper is to present an experiment to verify that the motion errors of robust topology optimization results of compliant mechanisms are insensitive to load dispersion. Design/methodology/approach First, the test pieces of deterministic optimization and robust optimization results are manufactured by the combination of three-dimensional (3D) printing and casting techniques. To measure the displacement of the test piece of compliant mechanism, a displacement measurement method based on the image recognition technique is proposed in this paper. Findings According to the experimental data analysis, the robust topology optimization results of compliant mechanisms are less sensitive to uncertainties, comparing with the deterministic optimization results. Originality/value An experiment is presented to verify the effectiveness of robust topology optimization for compliant mechanisms. The test pieces of deterministic optimization and robust optimization results are manufactured by the combination of 3D printing and casting techniques. By comparing the experimental data, it is found that the motion errors of robust topology optimization results of compliant mechanisms are insensitive to load dispersion.

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“…However, with the long‐term use of the structure and the diversification and unpredictability of the load environment, structural damage and even failure of the composite structure are inevitable. To achieve preventive maintenance and an autonomous guarantee of the service structure, real‐time monitoring of the structural safety status with structural health monitoring as the main content is of great significance 2,3 . When a fiber‐reinforced composite laminate structure is damaged, it may exhibit certain failure mechanisms, such as matrix cracking, fiber rupture, and delamination, due to static overload, impact, fatigue, design errors, and overheating, thus creating a challenge in identifying the damage location and extent.…”

Section: Introductionmentioning

confidence: 99%

Two‐step damage identification method for composite laminates using distributed piezoelectric and strain sensors

Ding

Wang

et al. 2021

Structural Contr & Hlth

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Summary The long‐term service of composite structures and the difficulty of controlling the load environment can cause unavoidable damage and make online damage identification imperative. In this paper, a two‐step damage identification method for small penetrating damage in a fiber‐reinforced composite laminate based on combined active and passive monitoring concepts by using distributed piezoelectric and strain sensors is proposed. First, based on the lamb wave generated via active excitation, the alternating time‐reversal phase synthesis (ATRPS) method with an alternating excitation of each piezoelectric sensor is developed. By reversing the received signals in the time domain, thereby modulating the phase and superposition of all signals, the energy focus of the suspicious damage area is achieved. Second, the gradients between the strain measurements and the damage variables are derived. An optimization method based on the modified quasi‐Newton search (MQNS) method is adopted to identify the damage extent of the suspicious elements by minimizing the error of the strain information between the reference model and the damage model. Numerical and experimental cases are then presented to demonstrate the validity, accuracy, and efficiency of the proposed methodology. The robustness is assessed in detail through a discussion of important parameters and noisy interference.

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Comparison of the reliability-based and safety factor methods for structural design

Cited by 53 publications

References 37 publications

Uncertainty-based decision-making in fire safety: Analyzing the alternatives

Uncertainty-based decision-making in fire safety: Analyzing the alternatives

Experimental verification of robust topology optimization for compliant mechanism

Two‐step damage identification method for composite laminates using distributed piezoelectric and strain sensors

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