• Title/Summary/Keyword: civil engineering structures

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Generative Artificial Intelligence for Structural Design of Tall Buildings

  • Wenjie Liao;Xinzheng Lu;Yifan Fei
    • International Journal of High-Rise Buildings
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    • v.12 no.3
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    • pp.203-208
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    • 2023
  • The implementation of artificial intelligence (AI) design for tall building structures is an essential solution for addressing critical challenges in the current structural design industry. Generative AI technology is a crucial technical aid because it can acquire knowledge of design principles from multiple sources, such as architectural and structural design data, empirical knowledge, and mechanical principles. This paper presents a set of AI design techniques for building structures based on two types of generative AI: generative adversarial networks and graph neural networks. Specifically, these techniques effectively master the design of vertical and horizontal component layouts as well as the cross-sectional size of components in reinforced concrete shear walls and frame structures of tall buildings. Consequently, these approaches enable the development of high-quality and high-efficiency AI designs for building structures.

Computational earthquake performance of plan-irregular shear wall structures subjected to different earthquake shock situations

  • Cao, Yan;Wakil, Karzan;Alyousef, Rayed;Yousif, Salim T.;Jermsittiparsert, Kittisak;Ho, Lanh Si;Alabduljabbar, Hisham;Alaskar, Abdulaziz;Alrshoudi, Fahed;Mohamed, Abdeliazim Mustafa
    • Earthquakes and Structures
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    • v.18 no.5
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    • pp.567-580
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    • 2020
  • In this paper, irregularly designed planar reinforced concrete wall structures are investigated computationally. For this purpose, structures consisting of four regular and irregular models of short-order (two-class) and intermediate (five-class) types have been investigated. The probabilistic evaluation of seismic damage of these structures has been performed by using the incremental inelastic dynamic analysis to produce the seismic fragility curve at different levels of damage. The fragility curves are based on two classes of maximum damage indices and the Jeong-Nansha three-dimensional damage index. It was found that there is a significant increase in damage probability in irregular structures compared to regular ones. The rate of increase was higher in moderate and extensive damage levels. Also, the amount of damage calculated using the two damage indices shows that the Jeong-Nensha three-dimensional damage index in these types of structures provides superior results.

Compressive behavior of profiled double skin composite wall

  • Qin, Ying;Li, Yong-Wei;Su, Yu-Sen;Lan, Xu-Zhao;Wu, Yuan-De;Wang, Xiang-Yu
    • Steel and Composite Structures
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    • v.30 no.5
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    • pp.405-416
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    • 2019
  • Profiled composite slab has been widely used in civil engineering due to its structural merits. The extension of this concept to the bearing wall forms the profiled composite wall, which consists of two external profiled steel plates and infill concrete. This paper investigates the structural behavior of this type of wall under axial compression. A series of compression tests on profiled composite walls consisting of varied types of profiled steel plate and edge confinement have been carried out. The test results are evaluated in terms of failure modes, load-axial displacement curves, strength index, ductility ratio, and load-strain response. It is found that the type of profiled steel plate has influence on the axial capacity and strength index, while edge confinement affects the failure mode and ductility. The test data are compared with the predictions by modern codes such as AISC 360, BS EN 1994-1-1, and CECS 159. It shows that BS EN 1994-1-1 and CECS 159 significantly overestimate the actual compressive capacity of profiled composite walls, while AISC 360 offers reasonable predictions. A method is then proposed, which takes into account the local buckling of profiled steel plates and the reduction in the concrete resistance due to profiling. The predictions show good correlation with the test results.

Large-scale testing and numerical study on an innovative dovetail UHPC joint subjected to negative moment

  • Zhang, Qifeng;Feng, Yan;Cheng, Zhao;Jiao, Yang;Cheng, Hang;Wang, Jingquan;Qi, Jianan
    • Computers and Concrete
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    • v.30 no.3
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    • pp.175-183
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    • 2022
  • To study the working mechanism and size effect of an innovative dovetail UHPC joint originated from the 5th Nanjing Yangtze River Bridge, a large-scale testing subject to negative bending moment was conducted and compared with the previous scaled specimens. The static responses, i.e., the crack pattern, failure mode, ductility and stiffness degradation were analyzed. It was found that the scaled specimens presented similar working stages and working mechanism with the large-scale ones. However, the post-cracking ductility and relative stiffness degradation all decrease with the enlarged length/scale, apart from the relative stiffness after flexural cracking. The slab stiffness at the flexural cracking stage is 90% of the initial stiffness while only 24% of the initial stiffness reserved in the ultimate stage. Finite element model (FEM) was established and compared with the experiments to verify its effectiveness in exploring the working mechanism of the innovative joint. Based on this effective method, a series of FEMs were established to further study the influence of material strength, pre-stressing level and ratio of reinforcement on its deflection-load relationship. It is found that the ratio of reinforcement can significantly improve its load-carrying capacity among the three major-influenced factors.

Seismic resilience evaluation of RC-MRFs equipped with passive damping devices

  • Kamaludin, Puteri Nihal Che;Kassem, Moustafa Moufid;Farsangi, Ehsan Noroozinejad;Nazri, Fadzli Mohamed;Yamaguchi, Eiki
    • Earthquakes and Structures
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    • v.18 no.3
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    • pp.391-405
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    • 2020
  • The use of passive energy dissipation devices has been widely used in the construction industry to minimize the probability of damage occurred under intense ground motion. In this study, collapse margin ratio (CMR) and fragility curves are the main parameters in the assessment to characterize the collapse safety of the structures. The assessment is done on three types of RC frame structures, incorporating three types of dampers, viscoelastic, friction, and BRB dampers. The Incremental dynamic analyses (IDA) were performed by simulating an array of 20 strong ground motion (SGM) records considering both far-field and near-field seismic scenarios that were followed by fragility curves. With respect to far-field ground motion records, the CMR values of the selected frames indicate to be higher and reachable to safety margin more than those under near-field ground motion records that introduce a high devastating impact on the structures compared to far-field excitations. This implies that the near field impact affects the ground movements at the site by attenuation the direction and causing high-frequency filtration. Besides that, the results show that the viscoelastic damper gives better performance for the structures in terms of reducing the damages compared to the other energy dissipation devices during earthquakes.

Wireless sensor network for decentralized damage detection of building structures

  • Park, Jong-Woong;Sim, Sung-Han;Jung, Hyung-Jo
    • Smart Structures and Systems
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    • v.12 no.3_4
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    • pp.399-414
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    • 2013
  • The smart sensor technology has opened new horizons for assessing and monitoring structural health of civil infrastructure. Smart sensor's unique features such as onboard computation, wireless communication, and cost effectiveness can enable a dense network of sensors that is essential for accurate assessment of structural health in large-scale civil structures. While most research efforts to date have been focused on realizing wireless smart sensor networks (WSSN) on bridge structures, relatively less attention is paid to applying this technology to buildings. This paper presents a decentralized damage detection using the WSSN for building structures. An existing flexibility-based damage detection method is extended to be used in the decentralized computing environment offered by the WSSN and implemented on MEMSIC's Imote2 smart sensor platform. Numerical simulation and laboratory experiment are conducted to validate the WSSN for decentralized damage detection of building structures.

Compressive behavior of rectangular sandwich composite wall with different truss spacings

  • Qin, Ying;Chen, Xin;Xi, Wang;Zhu, Xing-Yu;Chen, Yuan-Ze
    • Steel and Composite Structures
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    • v.34 no.6
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    • pp.783-794
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    • 2020
  • Steel-concrete-steel sandwich composite wall is composed of two external steel plates and infilled concrete core. Internal mechanical connectors are used to enhance the composite action between the two materials. In this paper, the compressive behavior of a novel sandwich composite wall was studied. The steel trusses were applied to connect the steel plates to the concrete core. Three short specimens with different truss spacings were tested under compressive loading. The boundary columns were not included. It was found that the failure of walls started from the buckling of steel plates and followed by the crushing of concrete. Global instability was not observed. It was also observed that the truss spacing has great influence on ultimate strength, buckling stress, ductility, strength index, lateral deflection, and strain distribution. Three modern codes were introduced to calculate the capacity of walls. The comparisons between test results and code predictions show that AISC 360 provides significant underestimations while Eurocode 4 and CECS 159 offer overestimated predictions.