Results in Control and Optimization最新文献_第7页

Energy-saving optimization of server multi-fan control system based on weighting mechanism and evolution strategy 基于加权机制和进化策略的服务器多风扇控制系统节能优化

IF 3.2 Q3 Mathematics

Results in Control and Optimization

Pub Date : 2025-12-01 Epub Date: 2025-10-20 DOI: 10.1016/j.rico.2025.100620

Chun-Wei Lan , Chien-Ming Lee , Kai-Yang Tung , Rongshun Chen

Each server in data centers is equipped with multiple fans and heat-generating components. Factors such as fans speed, layout of components, and loading scenarios, will influence the airflow and thermal flow fields within a server. Hence, a server thermal control is classified as a Multi-Input Multi-Output (MIMO) nonlinear control system, which cannot be analyzed and controlled using simple linear system method. By using the weighting mechanism of different weighting values for each cooling fan to asynchronously modulate multiple fans, and combining the Evolutionary Strategy (ES) algorithm with designing fitness functions, this study realizes the multi-fan thermal control system for a server. The developed system can attain approximately optimal weightings within a limited number of searches, based on different loading scenarios. By modulating fans asynchronously with these weightings, the system can achieve approximately optimal energy-saving while still meet the thermal specifications in a server; that is the allowed highest temperature of CPU and PCIe. Compared to modulating fans synchronously, the multi-fan control system modulating fans asynchronously saves an average of 43.1% of the total fans power, and only need to search 14.2% of all weighting options under the eight designed loading scenarios for experiments. Furthermore, the probability of each approximate optimal weighting corresponding to global optimal solution is 47.5%. Experimental results demonstrate that the pro- posed asynchronously modulating multi-fan control system can simultaneously satisfy the thermal specifications and achieves approximately optimal energy-saving for a server. As a result, the developed system is feasible with excellent performance for significant energy saving, while it is no need to construct a mathematical thermal models or to analyze numerous datasets. In the future, by adjusting the code parameters of system, it may be to be applied to various types of servers.

数据中心的每台服务器都配备了多个风扇和发热部件。风扇转速、组件布局、负载场景等因素都会影响服务器内部的气流和热流场。因此，服务器热控制属于多输入多输出（MIMO）非线性控制系统，不能用简单的线性系统方法进行分析和控制。采用每个散热风扇不同权重值的加权机制，对多个风扇进行异步调节，并将进化策略算法与设计适应度函数相结合，实现了一台服务器的多风扇热控系统。所开发的系统可以基于不同的加载场景，在有限的搜索次数内获得近似最优的权重。通过与这些权重异步调制风扇，系统可以在满足服务器散热要求的同时实现近似最佳节能；即CPU和PCIe允许的最高温度。与同步调制风机相比，多风机控制系统异步调制风机平均节省风机总功率的43.1%，在设计的8种负载场景下，只需要搜索所有权重选项的14.2%即可进行实验。每个近似最优权值对应全局最优解的概率为47.5%。实验结果表明，所提出的异步调制多风扇控制系统能够同时满足服务器的散热要求并达到近似最优的节能效果。因此，所开发的系统是可行的，性能优异，节能效果显著，且不需要建立数学热模型或分析大量数据集。在未来，通过调整系统的代码参数，它可能适用于各种类型的服务器。

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引用次数: 0

Maximum sensitivity-based PID controller cascaded with 2/3 order filter for integrating processes with time delay 基于最大灵敏度的PID控制器与2/3阶滤波器级联，用于集成具有时滞的过程

IF 3.2 Q3 Mathematics

Results in Control and Optimization

Pub Date : 2025-12-01 Epub Date: 2025-12-03 DOI: 10.1016/j.rico.2025.100635

K. Divakar , Muni Reddy G. , N.M.G. Kumar , M. Ijaz Khan

In the chemical industry, integrating processes are often encountered. Examples of integrating processes include bottom level control of a distillation column, level control of a tank with a motor fixed at the outlet, current-controlled DC motor, fermentation reactors, spacecraft take-off dynamics, paper industry drying processes, continuous stirred tank reactor (CSTR) with exothermic reactor, and so on. This article describes a new PID controller with a 2/3 order filter for integrating processes with time delay. Time delay is approximated to ratio of two polynomials using a second-order Pade’s approximation. A set point filter is used to minimize overshoot and the settling time of servo responses. Simulation studies are conducted on some of the benchmarking process models utilized in the literature. The comparative assessment is based on various performance indices.

在化学工业中，经常会遇到集成过程。集成过程的例子包括精馏塔的底部液位控制、出口固定有电机的槽的液位控制、电流控制的直流电机、发酵反应器、航天器起飞动力学、造纸工业干燥过程、带放热反应器的连续搅拌槽反应器（CSTR）等等。本文描述了一种新的PID控制器，该控制器带有2/3阶滤波器，用于集成具有时滞的过程。用二阶帕德近似将时延近似为两个多项式之比。设定值滤波器用于最小化伺服响应的超调量和稳定时间。对文献中使用的一些基准过程模型进行了仿真研究。比较评价是基于各种绩效指标。

引用次数: 0

Analysis of Hilfer type coupled implicit (μ,σ)-order differential equations with Riemann–Liouville fractional integrable conditions via Topological degree method 具有Riemann-Liouville分数可积条件的Hilfer型耦合隐式（μ,σ）阶微分方程的拓扑度分析

IF 3.2 Q3 Mathematics

Results in Control and Optimization

Pub Date : 2025-12-01 Epub Date: 2025-09-13 DOI: 10.1016/j.rico.2025.100613

Shahid Iqbal , Usman Riaz , Saeed Islam , Khayrilla Kurbonov , M. Ijaz Khan , Nidhal Ben Khedher

The article stated the class of

(μ, σ)

-order coupled implicit Hilfer fractional differential equations associated with integral type initial conditions, which is the generalization of Riaz and Zada (2021); Albidah (2023) and other well-known models, i.e. coupled competition species model, coupled oscillation model and coupled elastic beam model having transverse vibrations. The existence solution of the proposed coupled system can be found with the help of the Laplace transform, which is the fundamental method of differential equations. Banach contraction principle and the topological degree method will be used as tools for the uniqueness and at least one solution of the considered coupled problem. Stability of the problem is one of the important issues for the real wold problem. Stability in the sense of Hyers–Ulam and its types of the proposed coupled problem can be proved if the inequality F

>

0. For the illustration of results, an example will be presented, and the graphs of the system and its respective perturb system clearly show the differences when the order is changing.

本文叙述了一类具有积分型初始条件的（μ,σ）阶耦合隐式Hilfer分数阶微分方程，这是对Riaz和Zada（2021）的推广；Albidah（2023）等知名模型，即耦合竞争种模型、耦合振荡模型和具有横向振动的耦合弹性梁模型。利用微分方程的基本方法——拉普拉斯变换，可以求出耦合系统的存在性解。利用巴拿赫收缩原理和拓扑度方法求解所考虑的耦合问题的唯一性和至少一个解。问题的稳定性是现实世界问题的重要问题之一。如果不等式F >； 0，则可以证明所提出的耦合问题在Hyers-Ulam意义上的稳定性及其类型。为了说明结果，将给出一个例子，系统及其各自的摄动系统的图形清楚地显示了顺序变化时的差异。

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引用次数: 0

Robust FDI for turbine-governor and network parameters in interconnected power systems via mixed H∞/pole placement observers 基于混合H∞/极点放置观测器的互联电力系统中涡轮调速器和网络参数的鲁棒FDI

IF 3.2 Q3 Mathematics

Results in Control and Optimization

Pub Date : 2025-12-01 Epub Date: 2025-09-25 DOI: 10.1016/j.rico.2025.100619

Chadi Nohra , Raymond Ghandour , Mahmoud Khaled , Rachid Outbib

Interconnected power systems are increasingly vulnerable to parameter deviations—such as mechanical wear, blade loss, inertia degradation, or cyber-physical attacks—in turbine–governors, generators, and transmission lines. These deviations compromise stability and may lead to severe disturbances if not detected and isolated promptly. Conventional observer-based fault detection methods can identify anomalies but often fail to pinpoint the exact parameter responsible.

This paper proposes a robust Fault Detection and Isolation (FDI) framework capable of estimating and isolating key dynamic parameters, including turbine (Tt) and governor (Tg) time constants, inertia (H), damping (D), and tie-line synchronizing coefficients (Tij). The method integrates an H∞/H₂ observer with pole placement for disturbance attenuation and rapid residual generation, followed by an adaptive sliding mode estimator for parameter-specific isolation. This two-stage scheme enables precise differentiation between faults and noise, as well as between different types of parametric shifts.

Simulation studies on a multi-area load frequency control (LFC) system validate the accuracy and robustness of the proposed approach under diverse fault scenarios. Unlike conventional FDI techniques, the framework not only detects faults but also isolates their root causes, thereby providing actionable insights for operators and enhancing the resilience of modern interconnected power networks.

互联电力系统越来越容易受到参数偏差的影响，例如涡轮调速器、发电机和传输线中的机械磨损、叶片损失、惯性退化或网络物理攻击。这些偏差损害了稳定性，如果不及时发现和隔离，可能会导致严重的干扰。传统的基于观测器的故障检测方法可以识别异常，但往往不能确定准确的参数。本文提出了一种鲁棒故障检测和隔离（FDI）框架，能够估计和隔离关键动态参数，包括涡轮机（Tt）和调速器（Tg）时间常数、惯性(H)、阻尼(D)和联络线同步系数（Tij）。该方法集成了一个H∞/H₂观测器，该观测器具有极点设置，用于干扰衰减和快速残差产生，然后是一个自适应滑模估计器，用于参数特定隔离。这种两阶段方案能够精确区分故障和噪声，以及不同类型的参数移位。通过对多区域负荷频率控制系统的仿真研究，验证了该方法在不同故障情况下的准确性和鲁棒性。与传统的FDI技术不同，该框架不仅可以检测故障，还可以隔离故障的根本原因，从而为运营商提供可操作的见解，并增强现代互联电网的弹性。

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引用次数: 0

Modeling and sensitivity analysis of reaction diffusion brain disease with control rate under neurological disorder 神经障碍下控制率的反应弥漫性脑疾病建模及敏感性分析

IF 3.2 Q3 Mathematics

Results in Control and Optimization

Pub Date : 2025-09-01 Epub Date: 2025-09-10 DOI: 10.1016/j.rico.2025.100610

Muhammad Farman , Ammara Talib , Aqeel Ahmad , Muhammad Owais Kulachi , Aceng Sambas , Mohamed Hafez

The central nervous system (CNS) is frequently affected by multiple sclerosis, a common neurological condition that can result in lesions that progress over time and space. Our work provides a mathematical model that demonstrate the course of the illness and its probability of return. A fractional order model is obtained by applying the fractal–fractional operator to a mathematical model that is designed with the notion of enhancing immune system development. To identify its stable location, a recently created system HI

I_{v}

TR is analyzed statistically and qualitatively. The study guarantees trustworthy bounded conclusions by examining the system’s well-posedness and local and global stability, which are critical characteristics of epidemic models. The Lipschitz condition is used with a fixed point theory tool to satisfy uniqueness and existence constraints. Additionally, the reproductive number is ascertained using a sensitivity study of factors including chaos control. Lyapunov first derivative functions are used to analyze the system for local and global stability in order to assess the overall impact of these measurements. By using power-law kernel at fractional orders, a dependable solution is derived by the use of the fractal–fractional operator. Furthermore, we confirm our theoretical results using numerical simulations. Our results are shown in graphs that illustrate the model’s different reactions for different values of the parameters.

中枢神经系统（CNS）经常受到多发性硬化症的影响，多发性硬化症是一种常见的神经系统疾病，可导致病变随着时间和空间的推移而发展。我们的工作提供了一个数学模型，展示了疾病的过程及其复发的概率。将分形-分数阶算子应用于以增强免疫系统发育为目的的数学模型，得到了分数阶模型。为了确定其稳定的位置，对新创建的HIIvTR系统进行了统计和定性分析。该研究通过检验系统的适定性以及局部和全局稳定性，保证了可信的有界结论，这是流行病模型的关键特征。利用Lipschitz条件和不动点理论工具来满足唯一性和存在性约束。此外，利用包括混沌控制在内的因素的敏感性研究确定了繁殖数。李雅普诺夫一阶导数函数用于分析系统的局部和全局稳定性，以评估这些测量的总体影响。利用分数阶幂律核，利用分形-分数阶算子，得到了一个可靠的解。此外，我们用数值模拟验证了我们的理论结果。我们的结果用图表显示了模型对不同参数值的不同反应。

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引用次数: 0

Dynamical analysis of time delay effects on the stability of a harvested predator-prey system with a general Holling type response 时滞对具有一般Holling型响应的捕获捕食系统稳定性影响的动力学分析

IF 3.2 Q3 Mathematics

Results in Control and Optimization

Pub Date : 2025-09-01 Epub Date: 2025-08-10 DOI: 10.1016/j.rico.2025.100603

Odhiambo Francis

The study of predator-prey dynamics has long served as a cornerstone in ecological modelling. This research investigates a generalized predator-prey model incorporating a general Holling-type functional response, combined harvesting, and discrete time delays. The model considers both prey and predator harvesting strategies under realistic ecological constraints, and includes maturation and response delays to better capture biological interactions. Using qualitative analysis techniques, such as local stability, Hopf bifurcation, and numerical simulations, we explore the system's dynamic behavior. The goal of this research is to determine the optimal harvesting rate (or effort) that balances resource extraction with the need to maintain ecosystem stability and the long-term viability of both predator and prey populations. Findings from this study may inform sustainable harvesting policies and contribute to more accurate ecological forecasting models.

长期以来，捕食者-猎物动力学的研究一直是生态建模的基石。本文研究了一个广义的捕食者-猎物模型，该模型包含一般霍林型功能响应、组合收获和离散时滞。该模型考虑了现实生态约束下的猎物和捕食者捕获策略，并包括成熟和反应延迟，以更好地捕捉生物相互作用。利用定性分析技术，如局部稳定性、Hopf分岔和数值模拟，我们探索了系统的动态行为。本研究的目标是确定最佳的收获率（或努力），以平衡资源开采与维持生态系统稳定和捕食者和猎物种群的长期生存能力的需要。本研究结果可能为可持续采收政策提供信息，并有助于建立更准确的生态预测模型。

引用次数: 0

TeaNet8: A real time Android application-based Tea Leaf Disease detection using fine-tuned transfer learning and Gradient-Weighted Class Activation Mapping visualization TeaNet8：基于Android应用程序的实时茶叶病害检测，使用微调迁移学习和梯度加权类激活映射可视化

Q3 Mathematics

Results in Control and Optimization

Pub Date : 2025-09-01 Epub Date: 2025-07-09 DOI: 10.1016/j.rico.2025.100577

Ismotara Dipty , Md Assaduzzaman , Nafiz Fahad , Md. Jakir Hossen , Md. Farhatul Haider , Fiaj Rahman

Tea is widely regarded as one of the most popular beverages globally, and Bangladesh plays a significant role both as a producer and consumer of this renowned drink. However, diseases that impact the quality and productivity of crops can greatly impede the production of tea, impacting the final product’s quantity and quality. To prevent and control tea leaf diseases, a reliable and precise diagnosis and identification system is needed. Tea leaf infections are discovered manually, which takes time and affects crop quality and production. Detecting tea leaf disease early can lead to decreased damage to overall tea production. Advanced deep learning methods are simplifying the identification and categorization of specific illnesses in tea plants. This current study introduces TeaNet8, a deep learning-based approach for identifying and classifying eight tea leaf disease classes using a fine-tuned ResNet50V2 model. Moreover, this study employs 2824 images of eight different types of leaf diseases. Preprocessing techniques such as Contrast Limited Adaptive Histogram Equalization (CLAHE), brightness adjustment, and unsharp masking were applied to enhance the dataset. Additionally, data augmentation techniques were used to increase its diversity. The proposed model identify the differnt type of tea leaf disease with 97% accuracy.Gradient-Weighted Class Activation Mapping (Grad-CAM) visualization was employed to interpret and understand model predictions. The model demonstrated perfect accuracy for Algal Spot, Anthracnose, Gray Blight, and White Spot, with accuracy rates of 97.14% for Brown Blight, 94.59% for Healthy leaves, 94.12% for Red Spot, and 92.31% for Bird Eye Spot. Furthermore, the proposed model’s performance was compared against three pre-trained fine-tuning models. Various performance measurement indicators were used to evaluate the performance of the proposed model. The results showed that the proposed model is effective in categorizing diseases in tea leaves.Finally, An Android-based system was developed employing the most effective model to aid farmers for detecting tea leaf diseases.

茶被广泛认为是全球最受欢迎的饮料之一，孟加拉国作为这种著名饮料的生产国和消费国都发挥着重要作用。然而，影响作物质量和生产力的疾病会极大地阻碍茶叶的生产，影响最终产品的数量和质量。为了预防和控制茶叶病害，需要一个可靠、精确的诊断和鉴定系统。茶叶感染是人工发现的，这需要时间，也会影响作物的质量和产量。及早发现茶叶病害可以减少对茶叶总产量的损害。先进的深度学习方法正在简化对茶树特定疾病的识别和分类。本研究介绍了TeaNet8，这是一种基于深度学习的方法，用于使用微调的ResNet50V2模型识别和分类八种茶叶疾病类别。此外，本研究使用了8种不同类型叶片病害的2824张图像。采用对比度有限自适应直方图均衡化（CLAHE）、亮度调整和非锐利掩蔽等预处理技术增强数据集。此外，还使用了数据增强技术来增加其多样性。该模型识别不同类型的茶叶病害的准确率为97%。采用梯度加权类激活映射（Grad-CAM）可视化来解释和理解模型预测。该模型对褐枯病、炭疽病、灰枯病和白斑病的预测准确率为97.14%，对健康叶的预测准确率为94.59%，对红斑病的预测准确率为94.12%，对鸟眼斑病的预测准确率为92.31%。此外，将该模型的性能与三种预训练的微调模型进行了比较。使用各种性能测量指标来评估所提出模型的性能。结果表明，该模型对茶叶病害分类是有效的。最后，开发了一个基于android的系统，利用最有效的模型来帮助农民检测茶叶病害。

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引用次数: 0

A study of adaptive population sizing in a self-adaptive differential evolution 自适应差异进化中适应性种群规模的研究

Q3 Mathematics

Results in Control and Optimization

Pub Date : 2025-09-01 Epub Date: 2025-06-19 DOI: 10.1016/j.rico.2025.100585

Haldi Budiman , Shir Li Wang , Theam Foo Ng , Amr S. Ghoneim , Haidi Ibrahim , Bahbibi Rahmatullah

Differential Evolution (DE) is extensively applied due to its simplicity, robustness, and computational efficiency. However, the performance of DE is influenced by several factors, including the nature of the problem, the specific algorithm variant, and user-defined settings. Numerous studies have explored adaptive parameter settings to reduce the sensitivity of DE’s performance to user inputs, parameter choices, and problem characteristics. DE’s ability to find optimal solutions depends on offspring generation and population diversity. One of the ways to improve DE’s population diversity is by adjusting the population size, either by introducing new individuals or eliminating existing ones. This work investigates the adaptation of population sizing of a self-adaptive differential evolution algorithm called Self-Adaptive Ensemble-based DE with Enhanced Population Sizing (SAEDE-EP). The adaptation of population sizing in SAEDE-EP is influenced by two parameters: the threshold value for stagnation comparison of the best individual over generations and the population size’s growth rate. The effect of these two parameters on population sizing adaptation is evaluated using 26 benchmark single-objective unconstrained optimization functions consisting of unimodal, multimodal, hybrid, and composition functions. SAEDE-EP is compared against 18 state-of-the-art evolutionary algorithms on 10 functions from the 100-Digit Challenge on CEC 2019 single-objective real parameter optimization. Additionally, SAEDE-EP is tested on 57 problems from the CEC-2020 Competitions on Real-World Single Objective Constrained Optimization. Comparative analysis indicates that SAEDE-EP performs well in single-objective unconstrained optimization problems with various characteristics and solves 86% of the real-world single-objective constrained optimization, requiring less computational time and less exhaustive effort to set parameters.

差分进化算法以其简单、鲁棒性好、计算效率高等优点得到了广泛的应用。但是，DE的性能受到几个因素的影响，包括问题的性质、特定的算法变体和用户定义的设置。许多研究探索了自适应参数设置，以降低DE的性能对用户输入、参数选择和问题特征的敏感性。DE找到最优解的能力取决于后代的数量和种群的多样性。改善DE种群多样性的方法之一是通过引入新个体或消除现有个体来调整种群规模。本文研究了一种自适应差分进化算法的种群规模适应性，该算法称为基于自适应集成的增强种群规模DE （SAEDE-EP）。SAEDE-EP对种群规模的适应受两个参数的影响：最优个体的代际停滞比较阈值和种群规模增长率。利用单峰、多峰、混合和组合函数组成的26个基准单目标无约束优化函数，评估了这两个参数对种群规模适应性的影响。将SAEDE-EP与18种最先进的进化算法在CEC 2019单目标实参数优化100位挑战中的10个函数上进行比较。此外，SAEDE-EP还对来自CEC-2020世界单目标约束优化竞赛的57个问题进行了测试。对比分析表明，SAEDE-EP在各种特征的单目标无约束优化问题中表现良好，解决了86%的现实世界单目标约束优化问题，计算时间更少，参数设置的穷举性更小。

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引用次数: 0

Effectiveness of bed nets and media awareness in dengue control: A fuzzy analysis 蚊帐和媒体意识在登革热控制中的有效性：一个模糊分析

Q3 Mathematics

Results in Control and Optimization

Pub Date : 2025-09-01 Epub Date: 2025-06-26 DOI: 10.1016/j.rico.2025.100593

Shobha Islam, Md. Shahidul Islam, Md. Kamrujjaman

The incorporation of fuzzy analysis in the mathematical modeling of disease outbreaks has brought a paradigm shift in epidemiological research, offering a sophisticated approach to understanding and addressing the complexities inherent in disease dynamics. Unlike traditional mathematical models, which often rely on deterministic assumptions and precise parameter values, fuzzy analysis provides a flexible framework capable of accommodating uncertainty and imprecision within epidemiological systems. This paper presents a novel SVEIR-SEI compartmental model for dengue disease where five key parameters such as transmission rate, mortality rate, recovery rate, biting rate, and vaccination rate are treated as fuzzy numbers. Among these, transmission rate, mortality rate, and recovery rate are defined as a function of virus load whereas biting rate and vaccinations rate are defined as a function of number of bed net users and media awareness regarding vaccination, respectively. Crisp reproduction number is determined using next generation matrix method and hence fuzzy reproduction number is derived as a triangular fuzzy number (TFN). Numerical results show that biting rate and vaccination rate are the two most sensitive parameters to crisp reproduction number. We also examine the impact of using bed nets and media awareness regarding vaccination on the model system under fuzzy environment. It is found that using bed nets is a more effective strategy for dengue control than media coverage regarding vaccination.

将模糊分析纳入疾病暴发的数学模型，带来了流行病学研究的范式转变，为理解和处理疾病动力学固有的复杂性提供了一种复杂的方法。传统数学模型往往依赖于确定性假设和精确的参数值，而模糊分析不同，它提供了一个灵活的框架，能够适应流行病学系统中的不确定性和不精确性。本文提出了一种新的登革热SVEIR-SEI区室模型，该模型将传播率、死亡率、康复率、咬伤率和疫苗接种率等5个关键参数作为模糊数处理。其中，传播率、死亡率和恢复率被定义为病毒载量的函数，而叮咬率和疫苗接种率分别被定义为蚊帐使用者数量和媒体对疫苗接种意识的函数。采用下一代矩阵法确定脆度再现数，从而导出模糊再现数为三角模糊数（TFN）。数值结果表明，咬伤率和疫苗接种率是影响脆化繁殖数最敏感的两个参数。我们还研究了在模糊环境下使用蚊帐和媒体对疫苗接种的认识对模型系统的影响。研究发现，使用蚊帐是一种比媒体报道疫苗接种更有效的登革热控制策略。

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引用次数: 0

High-temperature performance evaluation of sustainable date palm fiber concrete with activated carbon: An MCDM and Weibull analysis approach 可持续椰枣纤维混凝土的高温性能评价：MCDM和Weibull分析方法

IF 3.2 Q3 Mathematics

Results in Control and Optimization

Pub Date : 2025-09-01 Epub Date: 2025-07-24 DOI: 10.1016/j.rico.2025.100602

Musa Adamu , Yasser E. Ibrahim , Ashwin Raut

This study explores the optimization and performance evaluation of date palm fiber (DPF) reinforced concrete containing powdered activated carbon (PAC) subjected to high temperatures. Multi-criteria decision-making (MCDM) and Weibull distribution analyses were used to analyse the concrete’s properties. Weight loss and residual compressive strength at 300 °C, 600 °C, and 900 °C were measured. The concrete mixes were designed with varying DPF (0 %, 1 %, 2 %, and 3 %) and PAC (0 %, 1 %, 2 %, and 3 % by cement weight). Performance evaluation included compressive strength, workability, water absorption, and mass loss were measured. The EDAS method identified Mix M1D1P (1 % DPF, 1 % PAC) as the best-performing mix composition. The optimal mix demonstrated high compressive strength (54.13 MPa), residual strength at 800 °C (25.17 MPa), and low mass loss (9.84 %), making it suitable for high-temperature applications. The MCDM results revealed that mixes with moderate PAC content (1 %) outperformed those with excessive DPF and PAC due to reduced porosity and enhanced strength retention. Statistical reliability was verified through Weibull distribution, with high degree of correlation (R² = 0.981) for the residual strength at 600 °C. The findings underscore the potential of DPF as a sustainable fiber that enhances thermal stability and mechanical performance while supporting eco-friendly construction practices. This study advances smart concrete technology by providing a systematic framework for material selection and optimization, paving the way for durable and sustainable high-performance concrete applications. The findings in this study also explores its practical applications in structural and thermal barrier systems, offering functional foresight for civil engineering and sustainable construction practices.

研究了高温条件下含有粉末活性炭（PAC）的枣椰树纤维（DPF）增强混凝土的优化及性能评价。采用多准则决策（MCDM）和威布尔分布分析对混凝土的性能进行了分析。测量了300°C、600°C和900°C时的失重和残余抗压强度。设计了不同DPF（0%、1%、2%和3%）和PAC（0%、1%、2%和3%水泥重量）的混凝土混合料。性能评价包括抗压强度、和易性、吸水率和质量损失。EDAS法鉴定Mix M1D1P （1% DPF, 1% PAC）为性能最佳的混合成分。优化后的混合料具有较高的抗压强度（54.13 MPa）、800℃时的残余强度（25.17 MPa）和较低的质量损失（9.84%），适合高温应用。MCDM结果显示，适度PAC含量（1%）的混合物优于那些含有过多DPF和PAC的混合物，因为它们降低了孔隙率，增强了强度保持。通过Weibull分布验证了统计信度，600°C时的残余强度具有高度相关（R²= 0.981）。研究结果强调了DPF作为一种可持续纤维的潜力，它可以提高热稳定性和机械性能，同时支持环保建筑实践。这项研究通过提供材料选择和优化的系统框架来推进智能混凝土技术，为耐用和可持续的高性能混凝土应用铺平了道路。本研究还探讨了其在结构和热障系统中的实际应用，为土木工程和可持续建筑实践提供了功能预见。

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引用次数: 0