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Pipeline Leakage Localization Using Internally Installed Distributed Fiber Optic Sensors 8

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Pipeline Leakage Localization Using Internally Installed Dis...

8th Symposium on Novel Photoelectronic Detection Technology and Applications

作者： Liu, Weikang Zhou, Wensong Li, Hui Wang, Shuo Key Lab of Structures Dynamic Behavior and Control The Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters The Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China School of Civil Engineering Harbin Institute of Technology Heilongjiang Harbin150090 China

ISBN: (数字)9781510653122

ISBN: (纸本)9781510653115

Distributed fiber optic sensing techniques are suitable for pipeline leakage monitoring owing to their long-distance sensing abilities. In this work, a novel pipeline leakage detection and localization method using a distributed fiber optic sensor is proposed. In contrast to conventional methods, the optical fiber is placed in the fluid inside the pipeline without any constraints. When leakage occurs, the local flow field close to the leakage position is disturbed and the fluid pressure caused by the fluid disturbance leads to optical fiber deformation or vibration. With the help of the phase-sensitive optical time domain reflection technique, the fluid disturbance can be detected over a long distance. This work first analyzed the fluid action on the optical fiber. Then, the effects on the fluid field of the local leakage are obtained through finite element simulations. Finally, the proposed method is demonstrated via a series of laboratory experiments. © 2022 SPIE

关键词： Optical fibers

Thermal performance of a novel Trombe wall enhanced by a solar energy focusing approach

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Low-carbon Materials and Green Construction 2024年第1期2卷 379-394页

作者： Xianzhang Dong Huigang Xiao Minglei Ma School of Civil Engineering Harbin Institute of TechnologyHarbin 150090PR China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education (Harbin Institute of Technology)Harbin 150090PR China China Construction Eighth Engineering Bureau Co. LtdShanghaiPR China

The Trombe wall is a passive solar building exterior wall system proposed by Professor Felix Trombe in France,which can collect solar energy to heat buildings without additional energy consumption,making it a focal point of research in building energy ***,its effectiveness is constrained by the low density of solar radiation in winter and the potential for overheating in *** study introduces a novel Trombe wall designed to address these issues through a focused strategy,enabling automatic transition between heating during winter and shading during *** thermal performance parameters of the novel Trombe walls in both winter and summer seasons are examined,and their energy consumption is assessed using experimental research *** indicate that the novel Trombe wall facilitates greater energy savings in both winter and *** compared with traditional Trombe walls,the novel Trombe wall achieves a significant reduction in energy consumption,with up to 55 W/m^(2)in heating load during winter and 47 W/m^(2)in cooling load during *** introduction of this new system holds substantial potential for the realization of zero-energy buildings.

关键词： Trombe wall Thermal performance Focusing approach Overheating

The Definition of BIM Engineering Competencies Based on Literature Analysis

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The Definition of BIM Engineering Competencies Based on Lite...

2023 International Conference on Construction and Real Estate Management: The Human-Centered Construction Transformation, ICCREM 2023

作者： Man, Qingpeng Liu, Yusi Xu, Ruichen Feng, Kailun Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Key Lab of Smart Prev. and Mitigation of Civ. Eng. Disasters of the Min. of Indust. and Info. Technol. Harbin Institute of Technology Harbin China Dept. of Construction Management Harbin Institute of Technology Harbin China Aecom Technical Services Inc. DenverCO United States School of Civil Engineering Harbin Institute of Technology Harbin China

ISBN: (数字)9780784485217

ISBN: (纸本)9780784485217

As the application of BIM technology in projects becomes widespread, the required BIM engineering capability of related technical engineers is also increasing gradually;therefore, establishing a BIM engineering competency enhancement system becomes necessary to provide an industry standard for talent cultivation in associated fields. Based on the literature analysis, this paper determines the connotation of engineering capability, identifies the critical elements of BIM engineering capability enhancement, and establishes the element system of BIM engineering capability enhancement. © ASCE.

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Energy Harvesting of Novel Smart Concrete Based on Nanotechnology: Experimental and Numerical

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SSRN 2023年

作者： Zhang, Mingming Zhu, Lihua Gao, Shan Yuan, Hanquan Liu, Tong School of Civil Engineering Xi’an University of Architecture and Technology Shaanxi Xi’an710055 China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China

This paper focuses on energy harvesting and smart controls in concrete structures using both experimental and theoretical approaches. The growing demand for sustainable energy solutions has led to innovations in materials like concrete, which offer energy conversion and efficient control possibilities. This study introduces a novel concept for concrete structures using piezoelectric nanoparticles, specifically zinc oxide nanoparticles (ZnO), offering three key benefits: (a) enhanced strength, (b) energy harvesting and storage, and (c) smart control. The experimental phase involves modifying concrete structures with energy harvesting technologies. Dispersion of nanoparticles in water is a key challenge, addressed through magnetic stirring, ultrasonic homogenization, and mechanical stirring. Multiple concrete specimens with nanoparticles were produced, followed by tests including compressive strength assessments, energy harvesting under mechanical loads, and intelligent control of concrete deflection through voltage application. On the theoretical front, modeling and numerical methods predict the behavior of energy harvesting concrete structures. The precise five-parameter theory, accounting for Poisson's effect, is employed for modeling. After deriving governing equations, differential quadrature numerical technique computes deflection and output voltage. Comparisons and validations are made between experimental and simulation results. The experiments reveal that the optimal ZnO nanoparticle content is 0.9%, leading to significant compressive strength improvements of 22.14%, 27.31%, and 34.28% for 7, 14, and 28-day samples, respectively, compared to controls. Beyond this content, compressive strength diminishes. Moreover, 0.9% ZnO-concrete produces an output voltage of 32 volts, well-justified technically and economically. Additionally, +50V voltage induces 9.2mm deformation, while -50V voltage yields 5.8mm, showcasing a substantial 63% deformation alteration potenti

关键词： Energy harvesting

Optimal placement of multiple types of sensors based on Bayesian system identification using heuristic-enhanced deep reinforcement learning

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Engineering structures 2025年 338卷

作者： Zhong, Qunhong Wei, Shiyin Huang, Yong Jia, Kailiang Li, Hui Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education School of Civil Engineering Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin China

The advanced structural health monitoring system, integrating multiple types of sensors, provides a comprehensive method for monitoring structural information, effectively identifying abnormal changes, and ensuring the safety of structures in service. However, determining the optimal placement of multiple types of sensors is a challenging combinatorial optimization problem due to its discrete and non-convex nature. The algorithm for optimizing multi-type sensor layouts must be able to handle these complexities effectively. In this paper, a novel multi-type sensor optimal placement algorithm based on heuristic-enhanced deep reinforcement learning (DRL) is proposed. This approach improves algorithm efficiency by initializing with high-quality configurations generated during agent's exploration process. Based on the information entropy and Bayesian theory, we establish a reward function to evaluate the effectiveness of multi-type sensor placement schemes. Three case studies are presented to verify the performance of the proposed algorithm in optimizing sensor placement. Our experiments indicate that adding excessive sensors does not significantly improve monitoring effectiveness, which highlights the necessity of strategically positioning sensors at the most critical data points by optimizing sensor placement to achieve efficient and effective monitoring. We find that incorporating heuristic-based exploration experience significantly boosts the optimization performance of deep reinforcement learning (DRL) algorithm, yielding superior results. The comparison study with other optimization methods also highlights the higher efficiency of our proposed method. © 2025

关键词： Convex optimization

Evaluation on the Failure Modes and Progressive Collapse Resistance of Self-Centering Infilled Precast Concrete Frame

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SSRN 2023年

作者： Wang, Haoran Li, Shuang Zhai, Changhai Key Lab of Structures Dynamic Behavior and Control The Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters The Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China

In this study, the refined finite element (FE) models for the collapse resistance of self-centering precast concrete (PC) frames with and without infill walls were established. Based on the validated FE models, the effects of different design parameters on the failure modes at the beam ends as well as the collapse resistance of the structures were carried out. Correspondingly, the reasonable optimization measures were suggested to reduce the concrete damage at the beam ends. The results indicated that the insufficient stirrup spacing may cause the concrete failed prematurely along the edge of the steel jackets due to stress concentration. Decreasing the thickness of steel angles could reduce the failure area of concrete at the beam ends, but also caused a significant reduction in the initial stiffness and vertical resistance of the structures. The thickness of steel jackets mainly influenced the size of failure area at the beam ends. The position of horizontal bolts and longitudinal bolts had effects on the failure modes of concrete at the beam ends as well as the collapse resistance of the structures, while the latter was particularly evident. Compared to the cast-in-place RC frames with the same size and reinforcement ratio, the damage extent at crucial locations of the optimized self-centering PC frame structures was lower, while exhibiting more excellent collapse resistance. A calculation model considering the resistance contribution of structural and non-structural infill wall members was proposed to predict the vertical resistance of self-centering PC frame structures in the compressive arch action (CAA) stage. © 2023, The Authors. All rights reserved.

关键词： Precast concrete

Mussel-Inspired Modified Tannic Acid Additive To Strengthen Interfacial Bonds Of Epoxy Resin With Steel Substrates

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Mussel-Inspired Modified Tannic Acid Additive To Strengthen ...

第八届中国国际粘接技术大会

作者： Noel Babu Guijun Xian Key Lab of Structures Dynamic Behavior and Control Ministry of EducationHarbin Institute of Technology Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology School of Civil Engineering Harbin Institute of Technology

Epoxies are widely used as coatings and adhesives in many structural ***,the loss of interfacial adhesion between the resin and substrate is a concern,especially in moist *** recent years,much attention has been directed toward mimicking the adhesion mechanism utilised by mussels to holdfast themselves onto underwater *** an inexpensive solution that can be quickly adopted for large-scale industrial applications is yet to be *** acid(TA) is a readily available polyphenol from plants with abundant phenolic hydroxyl *** was found that chemical modification of TA was necessary to use its phenolic –OH groups to mimic mussel *** was grafted with hydrophobic chains of allyl glycidyl ether(AGE) in the presence of a base *** 1wt.% additive in the resin(TA-AGE1),a 37% increase in shear strength was obtained with steel *** Boeing wedge test was performed in a harsh environment(water bath at 60 ℃) to confirm the interfacial bond *** is proposed that with the incorporation of the additive,more hydrogen and coordination bonds can be formed at the resin-adherend interface contributing to the strengthening of interfacial bonds.

关键词： Epoxy resin Mussel adhesion Tannic acid Interfacial bond durability

Identification of Chloride Diffusion Coefficient in Concrete Using Physics-Informed Neural Networks

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SSRN 2023年

作者： Wan, Yutong Zheng, Wenzhong Wang, Ying Key Lab of Structures Dynamic Behavior and Control The Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters The Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China

The corrosion of steel caused by chloride is one of the important causes of the deterioration of reinforced concrete structures. In order to describe the transport behavior of chlorides in concrete and to make quantitative durability designs based on it, it is necessary to determine the chloride diffusion coefficient correctly. However, the commonly used analytical method is not suitable for the free chloride diffusion coefficient considering the nonlinear chloride binding capacity of concrete. In this study, by comparing the results of solving forward problems involving chloride transport equations using finite element method (FEM) and solving corresponding inverse problems using physics-informed neural networks (PINNs), it is verified that PINNs can be applied to identify the chloride diffusion coefficient in non-steady-state immersion tests and accelerated chloride migration tests considering no chloride binding, Langmuir binding, or Freundlich binding. The robustness of PINNs is verified by training with 5% noise data as observed data. The results of interpolation and extrapolation using PINNs trained successfully show its excellent generalization performance. © 2023, The Authors. All rights reserved.

关键词： Diffusion

Stability Analysis and Design Methods of Steel Pipe Piles in Extreme Marine Corrosive Environments

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SSRN 2023年

作者： Han, Xinhao Liu, Changyong Hu, Qing Su, Andi Zhang, Sumei Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China

Steel pipe piles (SPPs) are commonly applied for marine platform foundations due to high bearing capacity. However, for SPPs in corrosive marine environments, the corrosion on the steel tube is severe and shows a non-uniform distribution along the height direction, resulting in the significant decrease of the stability bearing capacity. To investigate the stability performance of SPPs in marine corrosive environments, the corroded SPPs are simplified into five-segment stepped columns, and the equilibrium differential equations are established to obtain the rotational stiffness relationship. The accurate solutions of the critical buckling loads of five-segment stepped columns under arbitrary boundary conditions are obtained by iterative methods. Besides, considering the material and geometrical nonlinearity, the finite element (FE) model of corroded SPPs is established and then verified based on existing test results. The effects of the number of segments and stiffness ratios among different segments on the bearing capacity are analysed. Furthermore, considering the interactions among different segments, the calculation methods for the stability bearing capacity of stepped columns under axial compression and combined compression-bending are proposed respectively. The comparison between calculated and FE results indicates that the proposed calculation methods have good prediction accuracy and can be available for practical engineering reference. © 2023, The Authors. All rights reserved.

关键词： Bearing capacity