Life cycle dynamic sustainability maintenance strategy optimization of fly ash RC beam based on Monte Carlo simulation

Wang, Jingjing; Wang, Yuanfeng; Zhang, Yurong; Liu, Yinshan; Shi, Chengcheng

doi:10.1016/j.jclepro.2022.131337

Cited by 13 publications

(6 citation statements)

References 25 publications

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“…), in turn, were proposed in the works of Hosseini et al (2023), Jitao et al (2019), Vořechovská et al (2017), andWang et al (2016). The eco-friendly design optimization of intermediate RC moment frames, the concrete failure analysis, and optimization of the RC beam life cycle support strategy, based on the Monte Carlo simulation, were carried out in the studies of Akhavan Kazemi et al (2023), Huang et al (2016), andWang et al (2022). Finally, according to the results of Badal et al (2023), Wang et al (2023), andZhang et al (2023), several applied (seismic resilience) and new approaches (based on the third-moment method, etc.)…”

Section: Resultsmentioning

confidence: 99%

Monte Carlo Methods: A Features Review in Terms of Use for Assessing the Reliability of Rc Structures

Tytarenko,

Khmil

2023

Theory build. pract.

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Recently, the optimization issue relevance of reinforced concrete (RC) structures design solutions through the maximum use of their bearing capacity resource has increased significantly; in turn, solving this issue depends on a fundamental understanding of the reliability and durability concepts. Because any loads, impacts, or bearing capacity reserve parameters are random variables, there is a need to build stochastic models, which can become the “reliability design” concept base shortly. Among other things, this review article is devoted to the Monte Carlo methods features analysis in terms of their use in the RC members’ reliability assessment tasks. Based on a modern literary sources review, recommendations for further studies of the RC structures’ reliability and durability (including damaged ones) under the conditions of the combined action of loads and a corrosive environment (using Monte Carlo methods) were also formulated.

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Section: Resultsmentioning

confidence: 99%

Monte Carlo Methods: A Features Review in Terms of Use for Assessing the Reliability of Rc Structures

Tytarenko,

Khmil

2023

Theory build. pract.

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“…From a practical point of view, principal studies of various concrete and RC structures' reliability are carried out in articles [22][23][24] (considering marine environmental action, corrosive and seismic impacts, etc.). Finally, studies [25,26] presented new approaches to assessing the RC bending members' reliability and its life cycle support strategy optimization (based on Monte Carlo simulation, the third-moment method, etc.). For example, in the work [25], through 5 × 10 4 simulations of the case beam, the parameter characteristics of different optimal reinforcement schemes and the relationship between the reliability, life cycle 𝐶𝑂 2 emissions, and costs are studied.…”

Section: Existing Durability Assessment Modelsmentioning

confidence: 99%

Durability evaluation issues of reinforced concrete structures during operation: a review and perspectives

Tytarenko,

Khmil,

Selejdak

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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This article is devoted to analyzing several existing models and methods for the probabilistic durability assessment of reinforced concrete (RC) structures during operation. For this task, the authors reviewed and analyzed many existing studies by Ukrainian and foreign researchers in this field and highlighted the problems of a normative and calculation base. As determined, almost all design norms consider durability (or residual resource) regarding RC structures’ design and operation practice (without considering their life cycle), including the stochastic model’s construction in a specific environment. According to the author’s point of view, an initial random data package for all individual tasks is necessary due to the durability assessment issues’ complexity. In turn, that requires including parameters of the member’s bearing capacity reserve (materials’ strengths, dimensions of sections, etc.) and its service conditions (different types of actions) which are stochastic. Based on the studies reviewed, the authors also emphasize the main advantages and disadvantages of the models and methods described here. Also they formulated the recommendations for further studies in this field, namely expanding the use of numerical simulations (including Monte Carlo methods) to creating a fundamental base of a unified practical system for the reliability management (including durability) of RC structures during operation.

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“…Several techniques are employed to capture uncertainty, including decision trees, Markov modeling, fuzzy logic, discrete event simulation (DES), and Monte Carlo simulation (MCS) [37][38][39][40][41]. The choice of an appropriate method for modeling uncertainty depends on the specific problem being addressed.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Cost of Ownership of Spare Parts under Uncertainty: Integrating Reliability and Costs

et al. 2023

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In capital-intensive organizations, decisions regarding capital costs play an important role due to the significant amount of investment required and the expected return on investment. Spare parts management is crucial to those ends, as spare parts management can constitute a significant portion of OPEX. Companies must implement a trade-off analysis between stock levels and assets’ availability. Decision-making supports mechanisms such as the Level of Repair Analysis (LORA), Integrated Logistics Systems (ILS), and life-cycle costing (LCC) models have been developed to aid in equipment selection, implementation, and decommissioning. Nowadays, these mechanisms appear to be integrated with risk-management models and standards. This paper proposes a long-term costing model that integrates a capacity analysis, reliability functions, and risk considerations for the cost management of logistics activities, particularly in MRO structures. The model is built upon Time-Driven Activity-Based Costing (TD-ABC) and incorporates the volume of activities generated by MRO needs. It also addresses uncertainty through the integration of a cost-at-risk model. By integrating spare parts, activity-based cost models, and risk measurement through Monte Carlo simulation, this study offers powerful insights into optimizing spare parts logistics activities. The proposed model is a novel approach to include the risk of cost in spare parts management, and its matrix-activity-based structure makes possible the development of sophisticated mathematical models for costing and optimization purposes in different domains.

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Life cycle dynamic sustainability maintenance strategy optimization of fly ash RC beam based on Monte Carlo simulation

Cited by 13 publications

References 25 publications

Monte Carlo Methods: A Features Review in Terms of Use for Assessing the Reliability of Rc Structures

Monte Carlo Methods: A Features Review in Terms of Use for Assessing the Reliability of Rc Structures

Durability evaluation issues of reinforced concrete structures during operation: a review and perspectives

Cost of Ownership of Spare Parts under Uncertainty: Integrating Reliability and Costs

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