Research on the seismic retrofitting performance of RC frames using SC‐PBSPC BRBF substructures

Cao, Xu‐Yang; Wu, Gang; Feng, De‐Cheng; Wang, Zhun; Cui, Haoran

doi:10.1002/eqe.3265

Cited by 47 publications

(4 citation statements)

References 33 publications

(52 reference statements)

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“…In addition to energy savings, sustainable renovation makes buildings better in terms of their economic, social and environmental qualities [1]. To achieve sustainability, it is also important to consider renovation technologies in the seismic zones [3]. For instance, Cao et al [4] published a state-of-the-art review of retrofitting technologies.…”

Section: Introductionmentioning

confidence: 99%

Intelligent Multi-Criteria Decision Support for Renovation Solutions for a Building Based on Emotion Recognition by Applying the COPRAS Method and BIM Integration

et al. 2023

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With accelerating climate change and the urgent need to cut carbon emissions, global focus has turned to the existing building stock and its renovation. Sustainable renovation helps to achieve better energy performance and gain wider sustainability benefits, such as increased value of a building, improved indoor and outdoor comfort, reduced carbon emissions, and the higher satisfaction and better emotional state of inhabitants. Numerous systems and tools have been developed worldwide to assist with decision making in the choice of preferred modernisation scenarios and alternatives. However, social aspects are often neglected in the existing systems, and emotions of inhabitants are rarely analysed. To close this gap, the present study proposes an innovative decision-making framework for sustainable renovation solutions, based on emotion recognition. The framework makes it possible to assess various renovation alternatives against sustainability criteria and real-time measurements of the emotional states of inhabitants. Based on the proposed framework, an intelligent multi-criteria decision support system was developed by integrating COPRAS and the facial action coding system, the method of automatic facial expression recognition, and the continuous calibration and participant methods. The system was tested in the case study of renovation solutions for a building located in Ukraine. The research results revealed that the proposed renovation solutions had a positive impact on the emotional state of inhabitants, especially when visual materials such as drawings were presented. Some case studies were analysed together with the application of decision system tools and building information modelling (BIM) subsystem integration as a multidiscipline application of various applied sciences for representation and data analysis. The authors of this research have been analysing human emotional, affective and physiological states for many years and collected over a billion of these data in Vilnius city during the H2020 ROCK, SAVAS and BIM4REN projects. Data acquired during measurements in Vilnius were used to determine correlations and trends for the case study. The proposed methodology and findings of the study can be useful for researchers who use the evaluation and analysis of human emotions when there is a need to choose appropriate renovation measures or find alternative solutions.

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Section: Introductionmentioning

confidence: 99%

Intelligent Multi-Criteria Decision Support for Renovation Solutions for a Building Based on Emotion Recognition by Applying the COPRAS Method and BIM Integration

et al. 2023

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“…Cao [5] developed an effective iterative procedure for precast concrete structures to match the target responses generated from seismic ground motion histories. Cao et al [6] also enhanced the seismic performance of an existing three-dimensional building model subjected to thirty different earthquake records by implementing a self-centring reinforced concrete buckling-resistant brace frame. Recently, Xu et al [7] proved the seismic effectiveness of steel-reinforced concrete brace frames in reducing the axial forces of existing beams and columns.…”

Section: Introductionmentioning

confidence: 99%

Blast Mitigation of Reinforced Concrete Structures Incorporating Shear Walls in Modern Building Designs

Raikar,

Kangda,

Wadki

et al. 2023

Buildings

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Material science advancements have resulted in the development of high-strength concrete and steel reinforcement, allowing more efficient and stable buildings against natural and manmade disasters. Increasing security concerns and the potential threat from terrorist activities have led to the safety and resilience of structures against blast loads in modern construction. The present study investigates the performance of reinforced concrete shear walls in mitigating blast-induced vibrations. The study examines four different reinforced concrete buildings based on their shapes, namely square, rectangular, C-shaped, and L-shaped, to understand the blast behaviours with and without shear walls. The study presents a methodology to protect the regular and irregular buildings equipped with shear walls against blast loads at varying standoff distances of 100 m, 200 m, 300 m, and 400 m, respectively. The study also compares the efficiency of passive control dampers and shear walls in enhancing the buildings’ performance against blast vibrations. The best placement of the shear walls is also evaluated for all the selected buildings. The study also considers the effect of shear wall thickness in mitigating blast-induced vibrations in multi-storey buildings. The study also discusses the design guidelines and reinforcement detailing of shear walls to protect buildings against detrimental blast effects.

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“…According to the government proposal in China, the precast-assembly rate in the next 10 years is required to reach 30 %, thus, the academia and industry are paying great attention to this field from the aspects of micro mechanism to macro configuration [2,3,4]. Among all the precast structural types, the reinforced concrete frame (RCF) structure is the most commonly used one, which contains the superiority of flexibility in arrangement and convenience in standardization.…”

Section: Introductionmentioning

confidence: 99%

Dynamic and Probabilistic Seismic Performance Assessment of Precast Prestressed Rcfs Incorporating Slab Influence Through Three-Dimensional Spatial Model

Cao

Xiong

Feng

et al. 2021

Preprint

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The dynamic and probabilistic seismic performances of precast prestressed RCFs are assessed in this paper, and the slab influence in the overall structural behavior is considered during the process. The threedimensional spatial model is established to provide the numerical basis, and the slab is modelled through L-/T-section beam-slab fiber-sections considering the effective width and centroid positions. The adopted model is verified with the experimental data, and the slab influence in hysteresis curves is investigated by parametric study. Then, two groups of precast prestressed RCFs are well designed to evaluate the slab influence in dynamic responses through seismic excitations, and the modal analysis, roof displacement analysis, maximum and residual drift ratio analysis are conducted for discussion. Moreover, the incremental dynamic analysis and fragility analysis are also conducted to investigate the probabilistic performance of precast prestressed RCFs with or without slabs. In general, different demand parameters may result in the variability of analyzing results, and ignoring the slab influence may underestimate the structural capacity under the frequent earthquakes (i.e., elastic stage) and overestimate the structural capacity under the rare earthquakes (i.e., plastic stage). In a sense, the research proves the significance of slabs in the seismic performance of dry-connected precast prestressed RCFs, and meanwhile provides the reference for the further explorations of slab factors in precast concrete structures.

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Research on the seismic retrofitting performance of RC frames using SC‐PBSPC BRBF substructures

Cited by 47 publications

References 33 publications

Intelligent Multi-Criteria Decision Support for Renovation Solutions for a Building Based on Emotion Recognition by Applying the COPRAS Method and BIM Integration

Intelligent Multi-Criteria Decision Support for Renovation Solutions for a Building Based on Emotion Recognition by Applying the COPRAS Method and BIM Integration

Blast Mitigation of Reinforced Concrete Structures Incorporating Shear Walls in Modern Building Designs

Dynamic and Probabilistic Seismic Performance Assessment of Precast Prestressed Rcfs Incorporating Slab Influence Through Three-Dimensional Spatial Model

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