Journal of Engineering Research最新文献

Efficacy of geopolymerization for integrated bagasse ash and quarry dust in comparison to fly ash as an admixture: A comparative study 与粉煤灰作为外加剂相比，综合蔗渣灰和石矿灰的土工聚合功效：比较研究

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-09-01 DOI: 10.1016/j.jer.2023.08.010

This study compares the efficacy of geopolymerized bagasse ash (GB) and geopolymerized quarry dust (GQ) with traditional flay ash-based geopolymer considering the strength properties of a subgrade. Geopolymerized composited binary admixture (GBA) was constituted by incorporating the optimum percentages of GQ and GB, on the basis of a maximum reduction of 70% and 52% in plasticity index value respectively. Then samples for strength tests such as unconfined compression tests and California bearing ratio tests were remolded using standard and modified compaction parameters. Also, the mineralogical and microstructural analyses were conducted based on SEM and EDS. The influence of curing and percentage of geopolymers was also investigated on strength properties. The performance of GBA is equivalent to traditional fly-ash-based geopolymer (GF) considering strength properties like q_u and CBR ensuring more than 200% increase in the strength at 20% and 15% content respectively. However, at these contents, the ductility of GBA-treated samples is 107% higher than GF making this geopolymer more suitable under dynamic load. Formation of geopolymer gel ((N, C)-A-S-H) is confirmed by microstructural and elemental analyses but the microstructure of GBA treated sample is more porous than the microstructure of GF treated sample, which provides some advantage for particles reorientation of GBA treated sample under load before failure. Also, the proposed multi-waste geopolymer has significant implications for waste management, as its implementation for the construction of a two-lane subgrade covering a distance of 1 kilometer may enable the repurposing of 1313 tons of assorted solid waste.

本研究比较了土工聚合蔗渣灰（GB）和土工聚合石矿灰（GQ）与传统的以刨花灰为基础的土工聚合材料对基层强度性能的影响。土工聚合复合二元掺合料（GBA）是在塑性指数最大值分别降低 70% 和 52% 的基础上，掺入最佳比例的 GQ 和 GB 而制成的。然后，使用标准和修改后的压实参数重塑了用于强度试验（如非压缩试验和加州承载比试验）的样品。此外，还利用 SEM 和 EDS 进行了矿物学和微观结构分析。此外，还研究了固化和土工聚合物比例对强度性能的影响。从qu和CBR等强度特性来看，GBA的性能与传统的粉煤灰基土工聚合物（GF）相当，在20%和15%的含量下，强度分别提高了200%以上。不过，在这些含量下，经 GBA 处理的样品的延展性比 GF 高 107%，因此这种土工聚合物更适合承受动荷载。微观结构和元素分析证实了土工聚合物凝胶（(N, C)-A-S-H) 的形成，但 GBA 处理过的样品的微观结构比 GF 处理过的样品的微观结构更多孔，这为 GBA 处理过的样品在失效前的荷载作用下颗粒重新定向提供了一些优势。此外，所提议的多废物土工聚合物对废物管理具有重要意义，因为将其用于建设一个覆盖 1 公里距离的双车道路基，可实现 1313 吨各类固体废物的再利用。

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引用次数: 0

Evaluation of Morinda citrifolia extract as sustainable inhibitor for mild steel in saline environment 评估海巴戟提取物作为盐碱环境中低碳钢可持续抑制剂的作用

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-09-01 DOI: 10.1016/j.jer.2024.01.013

In this study, the Morinda citrifolia extract was evaluated as a sustainable inhibitor of mild steel in saline environments. The work aimed to determine the inhibition efficiency of new active material for metal corrosion inhibition. The powdered simplicia of M. citrifolia was extracted in the macerator for three days using a solvent daily. The functional group bonds of this extract were analyzed by Fourier Transform Infrared (FT-IR). The performance of M. citrifolia extracts was evaluated with potentiodynamic polarization (PDP) and electrochemical impedance spectroscopy (EIS) techniques using a three-electrode cell system. The surface morphology of mild steel was pictured by Field effect scanning electron microscopy (FE-SEM) coupled with energy dispersive X-ray spectroscopy (EDX). Potentiodynamic polarization results show decreasing corrosion current (I_corr) with the presence of an extract of M. citrifolia. Furthermore, resistance capacity transfer (Rct) increases with the addition of M. citrifolia extract. The optimum inhibition efficiency (%IE) was achieved at 300 mg L⁻¹ concentrations with 85.10% efficiency by using the PDP technique. The mild steel morphology in the addition of M. citrifolia extracts is smoother than the surface without adding extracts. The increase in corrosion inhibition was associated with the molecule adsorption from the active compounds into the steel surface. The study results confirmed that M. citrifolia is a potential biomaterial engineering for corrosion inhibitors on mild steel in a saline environment.

本研究评估了海巴戟提取物作为低碳钢在盐碱环境中的可持续缓蚀剂的效果。这项工作旨在确定新的金属缓蚀活性材料的缓蚀效率。每天使用一种溶剂在浸渍器中浸渍 M. citrifolia 的粉末萃取物三天。傅里叶变换红外光谱（FT-IR）分析了提取物的官能团键。使用三电极电池系统，通过电位极化（PDP）和电化学阻抗光谱（EIS）技术对柠檬叶提取物的性能进行了评估。场效应扫描电子显微镜（FE-SEM）结合能量色散 X 射线光谱（EDX）对低碳钢的表面形态进行了描绘。电位极化结果显示，随着柠檬叶提取物的存在，腐蚀电流（Icorr）不断减小。此外，电阻容量转移（Rct）随着离心叶提取物的添加而增加。通过使用 PDP 技术，当浓度为 300 mg L-1 时，最佳抑制效率（%IE）为 85.10%。添加了柠檬叶提取物的低碳钢表面形态比未添加提取物的表面更光滑。缓蚀效果的提高与活性化合物分子吸附到钢表面有关。研究结果证实，枸橼叶是一种潜在的生物材料工程，可用于盐碱环境中低碳钢的缓蚀剂。

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引用次数: 0

Microstructure, mechanical and tribological properties of Al/Cu functionally graded material fabricated through powder metallurgy 通过粉末冶金制造的铝/铜功能分级材料的微观结构、机械和摩擦学特性

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-09-01 DOI: 10.1016/j.jer.2023.100119

Mechanical and tribological behavior of five layered Al/Cu functionally graded material (FGM) produced by powder metallurgy was presented in the study. Compressive strength and hardness was evaluated on Universal testing machine and Vickers hardness tester respectively. Tribological characteristics in terms of frictional coefficient and wear rate was examined on pin-on-disc tribometer under the influence of different normal loading, sliding velocity and sliding distance conditions. FGM showed varied hardness along the thickness direction and maximum hardness of 86 HV was found at graded region due to the formation of intermetallic compound (CuAl₂). Compressive strength of FGM was 40.9% and 22.7% greater than pure Al and pure Cu samples. Al/Cu FGM exhibited superior friction and wear characteristics over base materials. To understand the failure mechanisms on fracture and worn out surfaces, they were observed under Scanning Electron Microscopy (SEM).

研究介绍了粉末冶金法生产的五层铝/铜功能分级材料（FGM）的机械和摩擦学行为。抗压强度和硬度分别在万能试验机和维氏硬度计上进行了评估。在不同的法向载荷、滑动速度和滑动距离条件下，在针盘摩擦磨损仪上检测了摩擦系数和磨损率等摩擦学特性。FGM 沿厚度方向显示出不同的硬度，由于金属间化合物（CuAl2）的形成，在分级区域发现最大硬度为 86 HV。FGM 的抗压强度分别比纯铝和纯铜样品高出 40.9% 和 22.7%。铝/铜 FGM 的摩擦和磨损特性优于基础材料。为了了解断裂和磨损表面的失效机制，对它们进行了扫描电子显微镜（SEM）观察。

引用次数: 0

Estimation of recompression coefficient of soil using a hybrid ANFIS-PSO machine learning model 利用 ANFIS-PSO 混合机器学习模型估算土壤的再压缩系数

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-09-01 DOI: 10.1016/j.jer.2023.10.018

Recompression coefficient (Cr) is =an essential parameter utilized to predict consolidation settlement of over-consolidated soil. Thus, the main aim of this work was to estimate accurately the Cr, using a hybrid ANFIS-PSO Machine Learning (ML) model that is a hybridization of Adaptive Neuro-Fuzzy Inference System (ANFIS) and Particle Swarm Optimization (PSO). To compare the performance of proposed model, we selected two other benchmark ML models: single ANFIS and Support Vector Machines (SVM). We collected and utilized the data of304 soil samples tested from various construction projects in Vietnam, which included 12 input variables (soil parameters) and one output variable (Cr). Validation indices, namely Correlation Coefficient (R), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE) were utilized for the validation of the model’s performance. Correlation analysis of feature selection results indicated that seven input variables namely clay content, plasticity index, liquidity index, degree of saturation, specific gravity, dry density, and bulk density were of importance and thus selected for prediction of the Cr. Validation results indicated that predictive capability of the hybrid ANFIS-PSO model (R = 0.802) is the best in comparison with other two benchmark models namely SVM (R = 0.727) and single ANFIS (R = 0.734). The findings of our study suggest that the ANFIS-PSO is a powerful ML tool for effectively and quickly prediction of the Cr of soil. This can help save time and reduce costs associated with laboratory experiments for determining this important geotechnical parameter.

再压缩系数（Cr）是用于预测过度固结土壤固结沉降的一个重要参数。因此，这项工作的主要目的是使用自适应神经模糊推理系统（ANFIS）和粒子群优化（PSO）混合的 ANFIS-PSO 机器学习（ML）模型来准确估算 Cr。为了比较所提模型的性能，我们选择了另外两个基准 ML 模型：单一 ANFIS 和支持向量机 (SVM)。我们收集并利用了来自越南多个建筑项目的 304 个土壤样本数据，其中包括 12 个输入变量（土壤参数）和 1 个输出变量（Cr）。我们利用相关系数（R）、均方根误差（RMSE）和平均绝对误差（MAE）等验证指标来验证模型的性能。特征选择的相关分析结果表明，粘土含量、塑性指数、流动性指数、饱和度、比重、干密度和体积密度这七个输入变量非常重要，因此被选中用于预测 Cr。验证结果表明，与其他两个基准模型 SVM（R = 0.727）和单一 ANFIS（R = 0.734）相比，混合 ANFIS-PSO 模型的预测能力（R = 0.802）最好。我们的研究结果表明，ANFIS-PSO 是一种强大的 ML 工具，可有效、快速地预测土壤的 Cr。这有助于节省时间，降低与实验室实验相关的成本，从而确定这一重要的岩土参数。

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引用次数: 0

Direct flame test performance of boards containing waste undersized pumice materials 含有尺寸不足的废浮石材料的木板的直接火焰测试性能

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-09-01 DOI: 10.1016/j.jer.2023.09.007

This study investigates the thermal performance of boards containing waste undersize pumice material directly exposed to flame in terms of thermal conductivity coefficient (TCC) and thermal efficiency ratio (TER). In the study, the direct flame was applied for 60 s on the front face of the 400×400×25 mm boards whose weight and density values, void ratio, porosity, and water absorption rates by weight and volume were determined. Because moisture content and porosity are significant factors in defining temperature-related properties of construction materials. The thermal characteristics of the boards were interpreted in this regard in connection to their moisture content and void ratios. At the end of the tests, the temperature difference between the front and back surfaces of the boards containing 10%, 30%, and 50% by weight of pumice stone powder and pumice sand was measured using a laser pyrometer. Compared to the reference sample without pumice, the TCC values decreased to 1.653, 1.649, and 1.540 W/mK, respectively, as a result of the use of pumice products in building materials. Moreover, TER values for the same samples increased to 82.6 %, 83.5 %, and 85.3 %, respectively.

本研究从热传导系数（TCC）和热效率比（TER）两个方面研究了直接暴露在火焰下的含有未达尺寸浮石废料的板材的热性能。在研究中，直接火焰在 400×400×25 毫米板材的正面照射 60 秒，测定了板材的重量和密度值、空隙率、孔隙率以及重量和体积吸水率。因为含水率和孔隙率是确定建筑材料温度相关特性的重要因素。在这方面，根据木板的含水率和空隙率来解释木板的热特性。试验结束后，使用激光高温计测量了浮石粉和浮石砂含量分别为 10%、30% 和 50%（按重量计）的木板正反两面的温差。与不含浮石的参考样本相比，由于在建筑材料中使用了浮石产品，TCC 值分别降至 1.653、1.649 和 1.540 W/mK。此外，相同样本的 TER 值分别增至 82.6%、83.5% 和 85.3%。

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引用次数: 0

Analysis of variance (anova) of the influence of molybdenum and cobalt additives on piezoelectric, dielectric and ferroelectric properties of Pb(Zr0.52Ti0.48)O3 钼和钴添加剂对 Pb（Zr0.52Ti0.48）O3 的压电、介电和铁电特性影响的方差分析（anova）

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-09-01 DOI: 10.1016/j.jer.2023.07.005

This study aims to determine how molybdenum and cobalt additives affect the structural and electrical characteristics of Pb(Zr0.52Ti0.48)O3. by substituting zirconate and titanate with molybdenum and cobalt, individually or in combination, in the range of 0–2%. The powders were initially made in order to achieve this via a wet chemical process. They were then calcined at 800 °C for 4 h. The calcined powders' XRD examination indicates that the tetragonal phase rapidly diminishes with dopant concentration and concurrently gives way to rhombohedral phase. With an increase in dopant concentration, a SEM analysis of sintered discs showed a considerable change in grain size initially at the Zr site. Detailed investigations of the PZT's piezoelectric properties Significant changes in the piezoelectric charge coefficient, electromechanical coupling coefficient, resonant frequency, and mechanical quality factor can be seen in the samples that were created and examined. Analysis of Variance was used to evaluate the impact of additives on resonance frequency, and the results revealed that the addition of molybdenum and cobalt has a significant impact on resonance frequency.

本研究旨在确定钼和钴添加剂如何影响 Pb(Zr0.52Ti0.48)O3.粉末最初是通过湿化学工艺制成的。煅烧粉末的 XRD 检查表明，随着掺杂剂浓度的增加，四方相迅速减少，同时让位于斜方相。随着掺杂剂浓度的增加，烧结圆片的 SEM 分析表明，最初在 Zr 位点的晶粒大小发生了很大变化。PZT 压电特性的详细研究在制作和检测的样品中，可以看到压电电荷系数、机电耦合系数、谐振频率和机械品质因数发生了显著变化。方差分析用于评估添加剂对共振频率的影响，结果表明钼和钴的添加对共振频率有显著影响。

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引用次数: 0

Optimal energy management strategies for hybrid electric vehicles: A recent survey of machine learning approaches 混合动力电动汽车的最佳能源管理策略：机器学习方法最新调查

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-09-01 DOI: 10.1016/j.jer.2024.01.016

Hybrid Electric Vehicles (HEVs) have emerged as a viable option for reducing pollution and attaining fuel savings in addition to reducing emissions. The effectiveness of HEVs heavily relies on the energy management strategies (EMSs) employed, as it directly impacts vehicle fuel consumption. Developing suitable EMSs for HEVs poses a challenge, as the goal is to maximize fuel economy yet optimize vehicle performance. EMSs algorithms are critical in determining power distribution between the engine and motor in HEVs. Traditionally, EMSs for HEVs have been developed based on optimal control theory. However, in recent years, a rising number of people have been interested in utilizing machine-learning techniques to enhance EMSs performance. This article presents a current analysis of various EMSs proposed in the literature. It highlights the shift towards integrating machine learning and artificial intelligence (AI) breakthroughs in EMSs development. The study examines numerous case studies, and research works employing machine learning techniques across different categories to develop energy management strategies for HEVs. By leveraging advancements in machine learning and AI, researchers have explored innovative approaches to optimize HEVs’ performance and fuel economy. Key conclusions from our investigation show that machine learning has made a substantial contribution to solving the complex problems associated with HEV energy management. We emphasize how machine learning algorithms may be adjusted to dynamic operating environments, how well they can identify intricate patterns in hybrid electric vehicle systems, and how well they can manage non-linear behaviors.

混合动力电动汽车（HEV）已成为减少污染、节省燃料以及减少排放的可行选择。混合动力汽车的有效性在很大程度上取决于所采用的能源管理战略（EMS），因为它直接影响车辆的燃料消耗。为混合动力汽车开发合适的 EMS 是一项挑战，因为目标是最大限度地提高燃油经济性，同时优化车辆性能。EMS 算法对于确定混合动力汽车发动机和电动机之间的功率分配至关重要。传统上，用于 HEV 的 EMS 是基于最优控制理论开发的。但近年来，越来越多的人开始关注利用机器学习技术来提高 EMS 的性能。本文对文献中提出的各种 EMS 进行了分析。它强调了在 EMS 开发中整合机器学习和人工智能（AI）突破的转变。本研究考察了大量案例研究，以及在不同类别中采用机器学习技术为混合动力汽车开发能源管理策略的研究成果。通过利用机器学习和人工智能的进步，研究人员探索出了优化混合动力汽车性能和燃油经济性的创新方法。我们调查得出的主要结论表明，机器学习为解决与混合动力汽车能源管理相关的复杂问题做出了巨大贡献。我们强调机器学习算法如何适应动态运行环境，如何很好地识别混合动力汽车系统中错综复杂的模式，以及如何很好地管理非线性行为。

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引用次数: 0

Bearing performance of diaphragm wall pile combination foundation under vertical and horizontal loads 地下连续墙桩组合地基在垂直和水平荷载作用下的承载性能

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-09-01 DOI: 10.1016/j.jer.2023.09.003

With the development of foundation engineering, finding new types of foundations with higher bearing capacity and stability has become an important research direction. In this paper, a new type of combined foundation consisting of diaphragm walls and pile groups is proposed, taking advantage of the benefits of both diaphragm walls and pile foundations. Finite element software is used to establish combined foundation models with diaphragm walls ranging from 1 m to 4 m in height, and model tests are conducted to validate the reliability of the finite element results. Subsequently, the settlement, axial force, and distribution of the horizontal axial force of the combined foundations under vertical loading are investigated for four different height combinations. Compared to pile foundations, combined foundations can significantly improve the ultimate bearing capacity of the foundation. The axial forces in both the piles and diaphragm walls decrease abruptly at the connection between the two structures. The diaphragm walls can bear larger vertical loads, and a tensile force is generated in the 1 m high diaphragm wall between the pile groups, while compressive forces are generated at higher heights. Additionally, the horizontal bearing capacity of the combined foundation is examined by analyzing its horizontal displacement, bending moment of the piles and diaphragm walls, and horizontal axial force of the diaphragm walls. The horizontal bearing capacity of the combined foundation is 26% higher than that of the pile foundation. The 1 m high diaphragm wall provides constraint to the pile top, reducing the horizontal displacement. As the height of the diaphragm wall increases, the constraint effect weakens, and the horizontal bearing capacity at a height of 4 m mainly relies on the lower part of the pile body.

随着地基基础工程的发展，寻找具有更高承载力和稳定性的新型地基已成为一个重要的研究方向。本文利用地下连续墙和桩基础的优点，提出了一种由地下连续墙和桩群组成的新型组合地基。本文使用有限元软件建立了地下连续墙高度从 1 米到 4 米不等的组合地基模型，并进行了模型试验以验证有限元结果的可靠性。随后，研究了四种不同高度组合的组合地基在垂直荷载作用下的沉降、轴力和水平轴力分布。与桩基础相比，组合地基能显著提高地基的极限承载力。在两个结构的连接处，桩和地下连续墙的轴力都会突然减小。地下连续墙可承受更大的垂直荷载，在桩群之间 1 米高的地下连续墙上会产生拉力，而在更高处则会产生压缩力。此外，通过分析组合地基的水平位移、桩和地下连续墙的弯矩以及地下连续墙的水平轴力，研究了组合地基的水平承载力。组合地基的水平承载力比桩基高出 26%。1 米高的地下连续墙为桩顶提供了约束，减少了水平位移。随着地下连续墙高度的增加，约束作用减弱，4 米高处的水平承载力主要依靠桩身下部。

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引用次数: 0

Distraction and visual search characteristics of young drivers when using navigation system displays 年轻驾驶员在使用导航系统显示屏时的分心和视觉搜索特征

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-09-01 DOI: 10.1016/j.jer.2023.09.023

Navigation systems are fast and efficient sources of road information for drivers. However, they can increase the potential for accidents by distracting drivers. This study investigated the impact of navigation systems on driver distraction and visual search under various driving conditions. Using a driving simulator, eye-tracking technology recorded visual search data from twenty young drivers. The experiment analyzed factors such as driving environment (urban and rural), illumination level (day and night), and navigation system display size (large and small), as well as their interactions. Multiple eye movement metrics were employed, including duration and frequency of GPS fixation, dwell duration on the road ahead, and dwelling on mirrors and side windows. Statistical analysis employed repeated measures ANOVA to analyze the data. Findings revealed that small GPS displays caused greater distraction in terms of average and total gaze duration. Additionally, distraction increased during daytime driving conditions. In terms of visual search, wider and more dispersed search patterns were observed during the day, resulting in improved driving performance. This study aims to compare small and large navigation displays to identify the more effective option in reducing driver distractions. The research contributes to understanding driver distraction and visual search when using navigation system displays.

导航系统是驾驶员快速有效的道路信息来源。然而，导航系统会分散驾驶员的注意力，从而增加发生事故的可能性。本研究调查了导航系统在各种驾驶条件下对驾驶员分心和视觉搜索的影响。利用驾驶模拟器，眼动跟踪技术记录了二十名年轻驾驶员的视觉搜索数据。实验分析了驾驶环境（城市和农村）、照明水平（白天和夜晚）、导航系统显示屏尺寸（大和小）等因素及其相互作用。实验采用了多种眼动指标，包括 GPS 定位的持续时间和频率、在前方道路上的停留时间以及在后视镜和侧窗上的停留时间。统计分析采用了重复测量方差分析来分析数据。研究结果表明，就平均注视时间和总注视时间而言，小尺寸 GPS 显示屏会造成更大的注意力分散。此外，在白天驾驶条件下，注意力分散的情况也会增加。在视觉搜索方面，白天观察到的搜索模式更广泛、更分散，从而提高了驾驶性能。这项研究旨在对小型和大型导航显示屏进行比较，以确定哪种方案能更有效地减少驾驶员分心。这项研究有助于了解驾驶员在使用导航系统显示屏时的分心和视觉搜索情况。

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引用次数: 0

Numerical simulation study of indoor disinfection spray distribution based on CFD-DPM method 基于 CFD-DPM 方法的室内消毒喷雾分布数值模拟研究

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2024-09-01 DOI: 10.1016/j.jer.2023.10.039

In today's world, environmental safety has become a top priority, with a special focus on terminal disinfection of indoor environments, which has proven to be a crucial and formidable issue in infection control. The use of hydrogen peroxide disinfection through vaporization or atomization presents a viable solution to the challenges posed by traditional wiping disinfection and ultraviolet disinfection methods that are plagued by incomplete disinfection and other factors that can significantly reduce the virus content within a room. To improve the application of hydrogen peroxide disinfection spray, the CFD-DPM (Computational Fluid Dynamics-Discrete Particle Model) method is employed to simulate the particle distribution of traditional sprays in a 30 m³ room. The study places emphasis on analyzing the impact of the placement position and bottle number of disinfection spray on the distribution of spray particles. The results demonstrate an impressive consistency between the numerical simulation method and experimental findings regarding the particle size distribution of disinfectant spray across various Schemes, validating the method's accuracy and reliability. However, the placement of a single disinfection spray source is insufficient to achieve uniformly distributed particles throughout the space when a bathroom is present within a given room. Nevertheless, by placing internal and external sources within the bathroom, the distribution of disinfectant spray particles becomes more even, thanks to a well conceived placement technique and an increased number of spray sources. Among all the schemes tested, Scheme 4 stands out for its ability to produce the greatest number of spray particles, with almost 60.71% of these particles remaining airborne for over 40 s. Therefore, it is also the most effective scheme for conducting disinfection.

当今世界，环境安全已成为重中之重，尤其是室内环境的终端消毒，这已被证明是感染控制中一个至关重要的棘手问题。传统的擦拭消毒和紫外线消毒方法存在消毒不彻底等问题，而过氧化氢汽化或雾化消毒方法可以显著降低室内的病毒含量，因此，使用过氧化氢消毒是解决这些问题的可行办法。为了改进过氧化氢消毒喷雾的应用，本研究采用了 CFD-DPM（计算流体力学-离散粒子模型）方法来模拟传统喷雾在 30 立方米房间内的粒子分布。研究重点是分析消毒喷雾的放置位置和瓶数对喷雾颗粒分布的影响。结果表明，数值模拟方法和实验结果在不同方案的消毒喷雾粒径分布方面具有惊人的一致性，验证了该方法的准确性和可靠性。然而，当特定房间内有卫生间时，单个消毒喷雾源的布置不足以实现颗粒在整个空间的均匀分布。不过，通过在浴室内放置内部和外部消毒喷雾源，消毒喷雾颗粒的分布会变得更加均匀，这要归功于精心构思的放置技术和喷雾源数量的增加。在所有测试方案中，方案 4 能够产生最多的喷雾颗粒，其中近 60.71% 的颗粒在空气中停留时间超过 40 秒。

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引用次数: 0