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Interfacial shear behavior in steel-concrete-steel composite structures with stud connectors after freeze-thaw cycles

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Construction and Building Materials 2025年 484卷

作者： Wei, Xudan Yan, Jiachuan Lin, Youzhu 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 School of Civil and Transportation Engineering Northeast Forestry University Harbin150040 China

Steel-concrete-steel (SCS) composite structures have potential applications in the northern cold region. To investigate the interfacial shear performance and failure mechanism of SCS composite structures with stud connectors subjected to freeze-thaw cycles (FTCs), freeze-thaw tests and push-out tests were conducted on 36 specimens to investigate the effects of concrete type, stud quantity, and FTCs. The test results showed that when the core concrete was changed from C30 concrete to ultra-high-performance concrete (UHPC), the shear capacity, shear stiffness, and ductility of the specimens all increased significantly, by approximately two times. Moreover, the failure mode of the specimens shifted remarkably from concrete splitting damage to stud breakage failure. Increasing the stud quantity or FTCs reduced the shear capacity and stiffness of the specimen, yet it exerted a minimal impact on the ductility. In addition, precise finite element models were established to investigate the effect of the relative strength between studs and concrete and the stud spacing on the failure modes and interfacial shear capacity. Based on experimental and finite element data analysis, a formula for calculating the interfacial shear capacity of SCS composite structures after FTCs was proposed. The calculation results were consistent with the test and simulation results, and this formula can serve as a reference for the design and application of SCS composite structures in cold regions. © 2025

关键词： Ultra-high performance concrete

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Pore-scale drying kinetics of white cement mortars through the LF-NMR relaxation technique

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Journal of Building Engineering 2025年 111卷

作者： Huaming Liang Yun Zhang Sihui Luo Fangzhou Ren Chunsheng Zhou Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin 150090 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 150090 China College of Carbon Neutral Energy China University of Petroleum (Beijing) Beijing 102249 China

Many engineering properties of cement-based materials (CBMs) are intimately linked with their moisture contents and pore structure. The drying kinetics of CBMs is essential for elucidating their mass transport, shrinkage cracking, and durability performance. To clarify the pore-scale drying kinetics of CBMs and compare them with those of other rigid porous media, the low-field nuclear magnetic resonance relaxation technique is employed to non-destructively monitor the dynamic water allocation in white cement mortar and sandstone specimens during drying. Experimental results show that at the pore scale, the drying of sandstone is found to be a water removal process from coarse to fine pores sequentially. However, regarding cement mortars, not only does capillary pore water evaporate and lose upon drying, but the water confined in interlayer and gel pores is also progressively drained out at the same time. This pore-scale water removal kinetics indicates the contraction of gel, collapse of interlayer and gel pores, and remarkable coarsening of overall pore structure. This moisture-dependent pore structure of CBMs is rooted in the featured nanoscale pore structure of gel and its high sensitivity to moisture, which is critical for modeling moisture transport and other moisture-regulated performances of CBMs.

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SDIGLM: Leveraging Large Language Models and Multi-Modal Chain of Thought for Structural Damage Identification

arXiv

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arXiv 2025年

作者： Zhang, Yunkai Wei, Shiyin Huang, Yong Su, Yawu Lu, Shanshan Li, Hui Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters Ministry of Industry and Information Technology School of Civil Engineering Harbin Institute of Technology Harbin150090 China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China CSCEC Digital Technology Co. Ltd. Beijing100000 China

Existing computer vision(CV)-based structural damage identification models demonstrate notable accuracy in categorizing and localizing damage. However, these models present several critical limitations that hinder their practical application in civil engineering(CE). Primarily, their ability to recognize damage types remains constrained, preventing comprehensive analysis of the highly varied and complex conditions encountered in real-world CE structures. Second, these models lack linguistic capabilities, rendering them unable to articulate structural damage characteristics through natural language descriptions. With the continuous advancement of artificial intelligence(AI), large multi-modal models(LMMs) have emerged as a transformative solution, enabling the unified encoding and alignment of textual and visual data. These models can autonomously generate detailed descriptive narratives of structural damage while demonstrating robust generalization across diverse scenarios and tasks. This study introduces SDIGLM, an innovative LMM for structural damage identification, developed based on the open-source VisualGLM-6B architecture. To address the challenge of adapting LMMs to the intricate and varied operating conditions in CE, this work integrates a U-Net-based semantic segmentation module to generate defect segmentation maps as visual Chain of Thought(CoT). Additionally, a multi-round dialogue fine-tuning dataset is constructed to enhance logical reasoning, complemented by a language CoT formed through prompt engineering. By leveraging this multi-modal CoT, SDIGLM surpasses general-purpose LMMs in structural damage identification, achieving an accuracy of 95.24% across various infrastructure types. Moreover, the model effectively describes damage characteristics such as hole size, crack direction, and corrosion severity. Copyright © 2025, The Authors. All rights reserved.

关键词： Structural health monitoring

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Essential Stressing State Features of Laterally Loaded Masonry Wall Panels Revealed from Experimental Displacements

Research Square

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Research Square 2021年

作者： Liu, Bai Li, Rui Zhang, Yu Zhou, Guangchun Key Lab of Structures Dynamic Behavior and Control of China Ministry of Education Key Lab of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology School of Civil Engineering Harbin Institute of Technology Harbin150090 China Urban and Engineering Disaster Prevention Laboratory Institute of Engineering Mechanics China Earthquake Administration Harbin150086 China

This study reveals the essential and general working features of laterally loaded masonry (LLM) wall panels from their experimental displacements by applying structural stressing state theory. Firstly, the generalized work of force is proposed to express the stressing state mode and its characteristic parameter. Then, the Mann-Kendall criterion is applied to detect the mutation point in the curve of the characteristic parameter with the load increase. Correspondingly, it is verified that the evolution of the stressing state mode also embodies the mutation feature. The stressing state mutation feature is inherent and common as the embodiment of the natural law from quantitative change to qualitative change of a system. The stressing state mutation feature reveals the starting point of structural failure process, which could update the existing definition of structural failure load. Further, the elastoplastic branch (EPB) point is revealed referring to the updated failure load, which might be directly taken as the design load with the rational margin of safety. In a sense, this paper presents a new way to address the classic issue of structural load-bearing capacity uncertainty and to update the existing design codes of LLM wall panels. © 2021, CC BY.

关键词： Fracture mechanics

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Local buckling behavior and bearing capacity of cold-formed S700 high strength steel built-up box-section stub columns

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Thin-Walled structures 2025年

作者： Jiahao Zhang Andi Su Hua Yang Key Lab of Structures Dynamic Behaviour and Control of the Ministry of Education Harbin Institute of Technology Harbin 150090 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 150090 China

This paper investigates the cross-sectional behavior and resistance of cold-formed S700 high strength steel (CFHSS) built-up box-section stub columns through an extensive experimental and numerical program. The experimental program contained tensile coupon tests, initial local geometric imperfections measurements and 12 stub column tests. The numerical program was subsequently performed, and finite element models were developed and validated against the experimental results and then employed in parametric studies to generate further numerical data. The obtained test and numerical data were used to evaluate the applicability of the existing design methods in European and American specifications to CFHSS built-up box-sections. It is revealed from the evaluation results that the codified slenderness limits in both codes can be accurately applied to classify internal web and outstand flange of CFHSS built-up box-sections in pure compression. The graphical and quantitative assessment results also show that the compression resistances predicted by the effective width method codified in two design codes are generally conservative but relatively consistent, and the current direct strength method specified in the American specification yields accurate ultimate loads for specimens of small local buckling slenderness (i.e. less than 1.35), but unsafe predictions for intermediate to large local buckling slenderness. A modified design approach based on DSM was proposed for CFHSS built-up box-section stub columns and demonstrated to improve design accuracy and consistency, with its reliability verified through statistical analysis, to address shortcomings of the current design methods.

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A Study Using the Combined Method of Scientometric and Manual Analysis on the Present Research of Plant Fibres Reinforced Concrete

SSRN

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SSRN 2022年

作者： Pan, Yunshi Li, Shuangxin Deng, Ling Shi, Youyu Wang, Jiarui Zhang, Faqi School of Civil Engineering Northeast Forestry University Harbin150060 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China Key Lab of Structures Dynamic Behaviour and Control of the Ministry of Education Harbin Institute of Technology Harbin150090 China Anqiu Water Resources Bureau Anqiu262100 China

As one of the most important supporting technologies to economic development and urbanisation, concrete becomes a crucial link to reduce the global carbon emission and confronts with an unprecedented challenge of decarbonation. The reinforcement by plant fibres in concrete is one of promising approaches to decarbonise concrete. This paper combines scientometric and manual analysis to evaluate the research progress on plant fiber reinforced concrete (PFRC), revealing the prevailing research domains and focuses on PFRC and the work performance of PFRC. The main challenges confronted by PFRC are discussed and and future research scope are proposed at the end. © 2022, The Authors. All rights reserved.

关键词： Thermal insulation

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Big-data driven building retrofitting: An integrated support vector machines and fuzzy c-means clustering method

Big-data driven building retrofitting: An integrated support...

引用

World Sustainable Built Environment - Beyond 2020, WSBE 2020

作者： Lu, Weizhuo Feng, Kailun Department of Civil Environmental and Natural Resources Engineering Luleå University of Technology Sweden Department of Construction Management Harbin Institute of Technology Harbin150009 China 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 Ministry of Industry and Information Technology Harbin Institute of Technology Harbin150090 China

It has become a mainstream to use physical models to quantify expected energy savings from alternative retrofit methods and technologies. However, they are not suitable for predicting energy use of buildings when detailed and specified input parameters are unavailable. The overall purpose of the research is to support the stakeholders in taking decisions on refurbishments options when not all of physical information is available, in order to achieve the Swedish Energy Agency's measurements of near-zero energy buildings. The research will transfer big data from Swedish Energy Performance Certificates for building retrofitting. A Support Vector Machines and Fuzzy C-means clustering (SVM-FCM) integrated machine learning algorithm is used directly to extract the case-specific knowledge from EPC big data regarding building characteristics and energy saving of retrofit measures. It enables to prioritize retrofit measures and compute their expected energy savings for buildings. This proposed data driven method is an attempt of taking advantage of big data for practical building retrofit selection. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： Support vector machines

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A new numerical scheme for simulating non-gaussian and non-stationary stochastic processes

arXiv

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arXiv 2020年

作者： Zheng, Zhibao Dai, Hongzhe Wang, Yuyin Wang, Wei Key Lab of Structures Dynamic Behavior and Control Harbin Institute of Technology Ministry of Education Harbin150090 China School of Civil Engineering Harbin Institute of Technology Harbin150090 China

This paper presents a new numerical scheme for simulating stochastic processes specified by their marginal distribution functions and covariance functions. Stochastic samples are firstly generated to automatically satisfy target marginal distribution functions. An iterative algorithm is proposed to match the simulated covariance function of stochastic samples to the target covariance function, and only a few times iterations can converge to a required accuracy. Several explicit representations, based on Karhunen-Loève expansion and Polynomial Chaos expansion, are further developed to represent the obtained stochastic samples in series forms. Proposed methods can be applied to non-gaussian and non-stationary stochastic processes, and three examples illustrate their accuracies and efficiencies. Copyright © 2020, The Authors. All rights reserved.

关键词： Stochastic systems

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A sample-based stochastic finite element method for structural reliability analysis

arXiv

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arXiv 2020年

This paper presents a new methodology for structural reliability analysis via stochastic finite element method (SFEM). A novel sample-based SFEM is firstly used to compute structural stochastic responses of all spatial points at the same time, which decouples the stochastic response into a combination of a series of deterministic responses with random variable coefficients, and solves corresponding stochastic finite element equation through an iterative algorithm. Based on the stochastic response obtained by the SFEM, the limit state function described by the stochastic response and the multidimensional integral encountered in reliability analysis can be computed without any difficulties, and failure probabilities of all spatial points are calculated once time. The proposed method can be applied to high-dimensional stochastic problems, and one of the most challenging issues encountered in high-dimensional reliability analysis, known as Curse of Dimensionality, can be circumvented without expensive computational costs. Three practical ex- Copyright © 2020, The Authors. All rights reserved.

关键词： Reliability analysis

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Corrigendum to “Experimental evaluation of mechanical properties and microstructure for recycled aggregate concrete collaboratively modified with nano-silica and mixed fibers” [Constr. Build. Mater. 403 (2023) 133125]

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Construction and Building Materials 2023年 404卷

作者： Hang Sun Liang Luo Huan Yuan Xi Li School of Transportation and Science Engineering Harbin Institute of Technology Harbin 150090 China Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education Harbin Institute of Technology Harbin 150090 China School of Civil Engineering Harbin Institute of Technology Harbin 150090 China

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