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Improved removal efficiency of partial bridge deck repair patches using the saw and patch method 锯补法提高了部分桥面修补补丁的去除效率
IF 2.1 Q2 Engineering Pub Date : 2023-09-04 DOI: 10.1080/24705314.2023.2253068
Israi Abu Shanab, Andrew D. Sorensen
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引用次数: 0
Methods of strengthening cross-laminated timber manufactured using Irish Sitka Spruce: a preliminary study 用爱尔兰锡特卡云杉制造的交叉层压木材的强化方法:初步研究
IF 2.1 Q2 Engineering Pub Date : 2023-08-13 DOI: 10.1080/24705314.2023.2244835
Emily McAllister, D. McPolin, Jamie Graham, Grainne O’Neill
ABSTRACT Climate change is a current global issue which must be addressed in order to create a sustainable future. While European countries have embraced the use of sustainable, naturally sourced materials, such as cross-laminated timber (CLT), their use in the UK and Ireland is much more limited. Currently, CLT is only manufactured in mainland Europe using C24 timber. This has higher characteristic properties than the most common grade of timber grown in the UK and Ireland. The UK climate generally results in fast growing trees, leading to lower density timber which is often correlated to lower strength properties. This research investigates the drying and conditioning methods used to achieve a moisture content of 12%, which is required to produce CLT panels according to European standards. The addition of a strengthening material, glass fibre mesh produces a novel product for the construction industry while improving a CLT panels overall performance in bending and shear, examined through a 4-point bending test. The research also focuses on finding the most suitable way of incorporating the glass fibre mesh between the bottom two layers of CLT panels with various adhesive techniques, examined through shear tests.
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引用次数: 0
Diagnosis of durability-related problems in concrete structures through comprehensive analysis and non-destructive testing: a case study 通过综合分析和无损检测诊断混凝土结构耐久性相关问题:一个案例研究
IF 2.1 Q2 Engineering Pub Date : 2023-07-10 DOI: 10.1080/24705314.2023.2233812
M. Shah, M. Usman, R. A. Khushnood, A. Hanif
ABSTRACT The present study investigated concrete durability problems at the National University of Sciences and Technology,Pakistan, through comprehensive analysis and non-destructive testing. During the visual inspection of concrete structures, different deterioration mechanisms such as alkali-silica aggregate reaction (ASR), carbonation, abrasion and drying shrinkage were found. After visual inspection, the data on ingredients used in the construction of various structures were collected, revealingthat different brands of cement used in construction contained high alkali-equivalent content. Fine aggregates were used from two different quarries during construction. The available literature and X-ray Diffraction (XRD) results showed that both the quarries’ aggregates have the potential for alkali-silica reactivity. Furthermore, the XRD results of gel-type material collected from mapped cracking indicated the presence of delhayelite, similar to alkali-silica gel, suggesting ASR. The XRD curves of the whitest powder collected from various sites showed the presence of sodium sulfate and calcium carbonate peaks, indicating salt hydration attacks. The carbonation rate in concrete ranges from 4.33 to 5.77 mm/year. The results of the rebound hammer and pulse velocity test indicated that concrete used in parking has low strength which is the main cause of abrasion. Based on these findings a few recommendations have been presented to avoid durability-related problems in future structures.
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引用次数: 0
Feature subset selection in structural health monitoring data using an advanced binary slime mould algorithm 基于二元黏菌算法的结构健康监测数据特征子集选择
IF 2.1 Q2 Engineering Pub Date : 2023-07-06 DOI: 10.1080/24705314.2023.2230398
Ramin Ghiasi, A. Malekjafarian
ABSTRACT Feature Selection (FS) is an important step in data-driven structural health monitoring approaches. In this paper, an Advanced version of the Binary Slime Mould Algorithm (ABSMA) is introduced for feature subset selection to improve the performance of structural damage classification techniques. Two operators of mutation and crossover are embedded to the algorithm, to overcome the stagnation situation involved in the Binary Slime Mould Algorithm (BSMA). The proposed ABSMA is then embedded in a new data-driven SHM framework which consists of three main steps. In the first step, structural time domain responses are collected and pre-processed to extract the statistical features. In the second step, the order of the extracted features is reduced using an optimization algorithm to find a minimal subset of salient features by removing irrelevant, and redundant data. Finally, the optimized feature vectors are used as inputs to Neural Network (NN) based classification models. Benchmark datasets of a timber bridge model and a three-story frame structure are employed to validate the proposed algorithm. The results show that the proposed ABSMA provides a better performance and convergence rate compared to other commonly used binary optimization algorithms.
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引用次数: 0
Detecting changes in the structural behaviour of a laboratory bridge model using the contact-point response of a passing vehicle 利用过往车辆的接触点响应检测实验室桥梁模型结构性能的变化
IF 2.1 Q2 Engineering Pub Date : 2023-07-03 DOI: 10.1080/24705314.2023.2230399
R. Corbally, A. Malekjafarian
ABSTRACT Drive-by bridge condition monitoring, using in-vehicle sensors to monitor bridges, represents a potential solution for network-scale monitoring of bridge structures. This paper presents a proof of concept for using the vehicle contact-point (CP) response for drive-by condition monitoring of bridges. An expression is presented which allows the vibration response at the point of contact between the tyre and the bridge surface to be inferred from the in-vehicle measurements. Following a simple numerical demonstration of the concept, laboratory tests are undertaken to verify that the CP response can be used to detect the fundamental frequency of the bridge. Results show that the CP response can be used to identify the bridge frequency with greater certainty than the signals measured directly on the vehicle. It is also shown, for two simulated damage cases, that changes in bridge frequency can be detected. The CP response is seen to be more sensitive to changes in bridge frequency than the measured signals. It is also observed that the detected frequency is sensitive to the vehicle speed and mass, which is an important consideration when combining results from multiple vehicle passages. Overall, the results verify that the CP response can be used to enhance drive-by bridge monitoring regimes.
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引用次数: 1
Physical and numerical models of pressure during waterproofing injections with polymer into concrete fractures 混凝土裂缝中聚合物防水注入压力的物理和数值模型
IF 2.1 Q2 Engineering Pub Date : 2023-07-03 DOI: 10.1080/24705314.2023.2233802
K. El Mekari, F. Duhaime, A. Shafaei
ABSTRACT Polymer injections in concrete fractures are commonly used for the waterproofing of tunnels. The pressure during the injection needs to be high enough to ensure polymer penetrability. This paper introduces two physical models for the study of the pressure inside concrete fractures during polymer injections. The injection parameters that were varied include pressure, injection duration, injection volume, location of the injection and pressure reading ports, and fluid dynamic viscosity. Water and water-glycerol mixtures were used to verify the influence of viscosity on flow. Tests were performed with both open and sealed fractures. The pressure inside the fracture during the injection was influenced by the dynamic viscosity, boundary conditions and the saturation level of the fracture. Sealed and initially moist fractures led to a higher pressure gain inside the fracture after achieving saturation. More than 40% of the injection pressure was already lost when the liquid entered the model. A numerical model of liquid flow in the fracture plane was developed with the finite element code COMSOL Multiphysics. It was able to replicate the influence of boundary conditions and initial fracture saturation on pressure. The model also shows how aperture and roughness influence the flow conditions in the fracture.
混凝土裂缝注入聚合物是隧道防水的常用方法。注入过程中的压力需要足够高,以确保聚合物的渗透性。本文介绍了两种用于研究聚合物注入混凝土裂缝内压力的物理模型。不同的注入参数包括压力、注入时间、注入量、注入位置和压力读数端口以及流体动态粘度。用水和水-甘油混合物验证了粘度对流动的影响。在开放性和封闭性骨折中均进行了测试。注入过程中裂缝内压力受动态粘度、边界条件和裂缝饱和度的影响。密封裂缝和最初的湿润裂缝在达到饱和后会导致裂缝内部的压力增加。当液体进入模型时,已经损失了超过40%的注射压力。利用有限元软件COMSOL Multiphysics建立了裂缝平面内液体流动的数值模型。它能够复制边界条件和初始裂缝饱和度对压力的影响。该模型还显示了孔径和粗糙度对裂缝内流动状况的影响。
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引用次数: 0
Fragility curves for reinforced concrete (RC)/steel vertical hybrid frame structure under mainshock–aftershock sequences 钢筋混凝土(RC)/钢垂直混合框架结构在主震-余震序列下的脆性曲线
IF 2.1 Q2 Engineering Pub Date : 2023-06-19 DOI: 10.1080/24705314.2023.2220946
B. Ghanbari, M. Fathi, A. Akhaveissy
ABSTRACT A reinforced concrete (RC)/steel vertical hybrid frame structure usually consists of a lower concrete structure and an upper steel structure connected in series. This study aims to derive fragility curves for RC/steel vertical hybrid frame structures under mainshock–aftershock sequences. For this purpose, a double incremental dynamic analysis (D-IDA) approach is performed to derive fragility curves for a five-story RC/steel vertical hybrid frame (a three‐story RC frame at the bottom + a two‐story steel frame at the top) under 14 real mainshock– aftershock earthquake ground motions. The fragility curves obtained for RC/steel frame are also compared with fragility curves for a five‐story purely RC frame. Also, residual capacity diagrams are provided for RC/steel and purely RC frames based on the D-IDA results. The results show that RC/steel frame structure has larger collapse capacity than that of the purely RC frame structure, and can diminish collapse probability by 33% compared to purely RC frame structure.
钢筋混凝土/钢竖向混合框架结构通常由下部混凝土结构和上部钢结构串联组成。本研究旨在推导RC/钢垂直混合框架结构在主震-余震序列下的脆性曲线。为此,采用双增量动力分析(D-IDA)方法推导五层钢筋混凝土/钢垂直混合框架(底部为三层钢筋混凝土框架)的脆性曲线 + 顶部的两层钢架)。将钢筋混凝土/钢框架获得的脆性曲线与五层纯钢筋混凝土框架的脆性曲线进行了比较。此外,基于D-IDA结果,还提供了钢筋混凝土/钢框架和纯钢筋混凝土框架的剩余承载力图。结果表明,钢筋混凝土/钢框架结构比纯钢筋混凝土框架结构具有更大的倒塌能力,与纯钢筋混凝土结构相比,可降低33%的倒塌概率。
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引用次数: 1
High-performance self-compacting concrete with recycled coarse aggregate: comprehensive systematic review on mix design parameters 再生粗骨料高性能自密实混凝土:配合比设计参数的综合系统综述
IF 2.1 Q2 Engineering Pub Date : 2023-05-22 DOI: 10.1080/24705314.2023.2211850
A. Alyaseen, Arunava Poddar, Hussain Alahmad, Navsal Kumar, P. Sihag
ABSTRACT The technological advancements and environmental concerns enlighten the importance of incorporating more high-performance engineered materials in the construction sector. The partial replacement of natural coarse aggregates (NCA) with recycled coarse aggregates (RCA) in concrete has recently been a primary focus of worldwide researchers for sustainability in environmental aspects. The primary purpose of this review is to comprehend the effect of design parameters in determining the mechanical characteristics of high-performance self-compacting (HP-SCC) that include recycled coarse aggregates (RCA). Seven design parameters were extracted and considered in this review. It has been revealed that the design parameters of HP-SCC with RCA have a different effect on the mechanical characteristics of HP-SCC with various grades. In addition, the current research aims to promote environmental-friendly development and produce sustainable materials to improve mechanical-related characteristics in concrete in the absence of a precise evaluation technique. Artificial neural network (ANN) models have been implemented using the design parameters for predicting concrete mechanical properties based on three statistical indicators. The ANN-based model was attributed using these seven inputs of the literature with the help of sensitivity analysis for indicating the most critical design parameter HP-SCC.
摘要技术进步和环境问题启发了在建筑行业引入更多高性能工程材料的重要性。最近,用再生粗骨料(RCA)部分取代混凝土中的天然粗骨料(NCA)已成为世界各地研究人员在环境方面可持续性的主要焦点。本综述的主要目的是了解设计参数在确定包括再生粗骨料(RCA)在内的高性能自密实(HP-SCC)的机械特性方面的影响。本次审查中提取并考虑了七个设计参数。研究表明,具有RCA的HP-SCC的设计参数对不同等级的HP-SCC的力学特性有不同的影响。此外,目前的研究旨在促进环境友好发展,生产可持续材料,以在缺乏精确评估技术的情况下改善混凝土的力学相关特性。基于三个统计指标,利用设计参数建立了用于预测混凝土力学性能的人工神经网络(ANN)模型。在灵敏度分析的帮助下,使用文献的这七个输入对基于ANN的模型进行了归因,以指示最关键的设计参数HP-SCC。
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引用次数: 4
Interfacial bond strength of coloured SCC repair layers: an experimental and optimisation study 彩色SCC修复层的界面结合强度:实验与优化研究
IF 2.1 Q2 Engineering Pub Date : 2023-04-20 DOI: 10.1080/24705314.2023.2170620
Oveys Ghodousian, Reyes Garcia, Vahid Shafaie, A. Ghodousian
ABSTRACT This study investigates experimentally and analytically the interfacial bond strength of coloured SCC repair layers. Ten SCC mixes with 5%, 10% and 15% of blue, green or red pigments were produced to examine their fresh properties. Subsequently, 60 coloured SCC specimens were tested to assess interfacial bond strength using pull-off and push-out tests. The results confirm that pigments reduce the mechanical properties of SCC and its bond strength to concrete substrates, with red pigment reducing (by up to 41%) interfacial bond strength. It is shown that the push-out test is effective to determine the interfacial shear bond strength between the SCC repair layers and substrates. A GNNC-Modified PSO algorithm is proposed to calculate accurately (R2 = 0.95) the interfacial bond strength of coloured SCC repair layers. This study contributes towards developing more effective test methods and more accurate models to calculate interfacial bond strength of the SCC repair layers used in this study.
摘要本研究通过实验和分析研究了彩色SCC修复层的界面结合强度。制备了10种含有5%、10%和15%蓝色、绿色或红色颜料的SCC混合物,以检查其新鲜性能。随后,使用拉拔和推出试验对60个彩色SCC试样进行测试,以评估界面粘结强度。结果证实,颜料降低了SCC的力学性能及其与混凝土基体的粘结强度,其中红色颜料降低了(高达41%)界面粘结强度。结果表明,推出试验可以有效地确定SCC修复层与基体之间的界面剪切结合强度。提出了一种GNNC改进的PSO算法来精确计算(R2 = 0.95)着色SCC修复层的界面结合强度。本研究有助于开发更有效的测试方法和更准确的模型来计算本研究中使用的SCC修复层的界面结合强度。
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引用次数: 0
The optimum inertial amplifier viscoelastic base isolators for dynamic response mitigation of structures: an analytical study 用于减缓结构动力响应的最佳惯性放大器粘弹性基隔振器的分析研究
IF 2.1 Q2 Engineering Pub Date : 2023-04-19 DOI: 10.1080/24705314.2023.2176619
Sudip Chowdhury, Arnab Banerjee, S. Adhikari
ABSTRACT The inertial amplifier viscoelastic base isolators (IAVBI) are introduced in this paper. The viscoelastic materials are implanted inside the core material of the inertial amplifier base isolators. The standard linear solid (SLS) models are applied to formulate the viscoelastic material mathematically. The viscoelastic materials are also implanted inside the traditional base isolators to enhance their dynamic response reduction capacity. The optimal dynamic responses of structures controlled by novel viscoelastic base isolators are derived analytically. The exact closed-form expressions for optimal design parameters of novel viscoelastic base isolators for structures are derived using and optimization methods. The feasibility of these optimal design parameters has been tested by frequency domain analysis. The optimal dynamic response reduction capacity of inertial amplifier viscoelastic base isolators has been determined to investigate the robustness of the and optimized design parameters. The closed-form expressions for optimal design parameters of novel base isolators are mathematically correct and effective for design purposes.
本文介绍了惯性放大器粘弹性基底隔离器(IAVBI)。粘弹性材料被植入惯性放大器基座隔离器的核心材料内部。应用标准线性固体(SLS)模型对粘弹性材料进行数学公式化。粘弹性材料也被植入传统的基础隔震器中,以提高其动态响应降低能力。分析推导了新型粘弹性基础隔震器控制下结构的最优动力响应。利用和优化方法,导出了结构用新型粘弹性基础隔震器优化设计参数的精确闭合表达式。通过频域分析验证了这些优化设计参数的可行性。确定了惯性放大器粘弹性基础隔震器的最佳动态响应衰减能力,以研究其鲁棒性和优化设计参数。新型基础隔震器优化设计参数的闭合表达式在数学上是正确的,对设计目的是有效的。
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引用次数: 1
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Journal of Structural Integrity and Maintenance
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