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The purpose of this paper is to study the effects of viscoelastic links between two adjacent buildings for pounding mitigation under white-noise seismic input.

A formulation is first extracted for the effective modal damping ratios of the system. Then, two single DOF linear buildings connected by viscoelastic links are considered with both classical and non-classical damping schemes. The inelastic behavior is also taken into account by using equivalent natural frequencies and damping ratios of the buildings. The effect of ground dominant frequency and damping on the displacement response is also investigated by using Kanai‒Tajimi filtered white noise as the random input.

The difference between classical and non-classical damping is shown to be less than 20 percent, implying the permission in using the simpler classical damping scheme. Finally, the problem is extended to two-storey buildings, where using viscoelastic links only at the top story level of the buildings is shown to be sufficient for controlling individual, as well as relative, motions of the structures.

Results demonstrate that the use of link with a moderate stiffness may reduce the stiffer building displacement up to approximately 20 percent in comparison to the free displacement, while the seismic pounding of the adjacent buildings is effectively controlled. Further, an upper limit of link stiffness is obtained for preventing the increase in the stiffer building displacement, which may be exceeded by the minimum link stiffness necessary for pounding prevention if small gap size exists.

The purpose of this paper is to investigate the transfer of information from the building information modelling (BIM) models to either conventional or advanced asset management platforms using Linked Data. To achieve this aim, a process for generating Linked Data in the asset management context and its integration with BIM data is presented.

The research design employs a participatory action research (PAR) approach. The PAR approach utilized two qualitative data collection methods, namely; focus group and interviews to identify and evaluate the required standards for the mapping of different domains. Also prototyping which is an approach of Software Development Methodology is utilized to develop the ontologies and Linked Data.

The proposed process offers a comprehensive description of the required standards and classifications in construction domain, related vocabularies and object-oriented links to ensure the effective data integration between different domains. Also the proposed process demonstrates the different stages, tools, best practices and guidelines to develop Linked Data, armed with a comprehensive use case Linked Data generation about building assets that consume energy.

The Linked Data generation and publications in the domain of AECO is still in its infancy and it also needs methodological guidelines to support its evolution towards maturity in its processes and applications. This research concentrates on the Linked Data applications with BIM to link across domains where few studies have been conducted.

The purpose of this paper is to develop a new building typology for: the estimation of heat demand of urban agglomerations; and the assessment of the environmental impact linked to urban re-development policies.

In order to: capture regional differences of urban areas; and describe individual building components of neighbourhoods, the author proposes the construction of a new building typology based upon a regional material catalog (Klauß et al. 2009a).

The main findings of this analysis are primarily on method. The author presents a method to estimate the building shell from available information on the digital cadastre and the first attempt to link material databases with a ranking algorithm. The analysis application presented in this paper shows that the embodied energy on insulation materials and the corresponding energetic payback time depends on the “real” building shell, making it important to accurately compute this value.

Results from this analysis present an heat demand urban model able to capture: regional differences, thanks to the use of the regional material catalog, local characteristics of the building stock, thanks to the detailed information of the digital cadastre, and ability to link building stock models with rich Live Cycle Inventory (LCI) databases for the explicit consideration of the embodied energy of retrofit measures. Further applications of the developed method could be used to assess new urban development plans of the city as well as financial incentives packages for building retrofits.

This analysis shows the first step towards the development of a new building typology constructed upon a regional material catalog. This innovation allows taking regional differences into account. Because the author uses a detailed catalog of building components, an accounting of embodied energy by linking data of a LCI database is possible. In this paper the author presents an application of the enriched data set, the presented example shows the needed embodied energy by adding an extra layer to the predefined building components of selected buildings of the digital cadastre.

Facilitating the information exchange and interoperability between stakeholders during the life-cycle of an asset can be one of the fundamental necessities for developing an enhanced information exchange framework. Such a framework can also improve the successful accomplishment of building projects. This paper aims to use Semantic Web technologies for facilitating information exchange within existing building projects.

In real-world building projects, the construction industry’s information supply chain may initiate from near scratch when new building projects are started resulting in diverse data structures represented in unstructured data sources, like Excel spreadsheets and documents. Large-scale data generated throughout a building's life-cycle requires exchanging and processing during an asset's Operation and Maintenance (O&M) phase. Building information modelling (BIM) processes and related technologies can address some of the challenges and limitations of information exchange and interoperability within new building projects. However, the use of BIM in existing and retrofit assets has been hampered by the challenges surrounding the limitations of existing technologies.

The aim of this paper is twofold. Firstly, it briefly outlines the framework previously developed for generating semantically enriched 3D retrofit models. Secondly, a framework is proposed focussing on facilitating the information exchange and interoperability for existing buildings. Semantic Web technologies and standards, such as Web Ontology Language and existing AEC domain ontologies are used to enhance and improve the proposed framework.

The proposed framework is evaluated by implementing an example application and the Resource Description Framework data produced by the previously developed framework. The proposed approach makes a valuable contribution to the asset/facilities management (AM/FM) domain. It should be of interest to various FM practices for existing assets, such as the building information/knowledge management for design, construction and O&M stages of an asset’s life-cycle.

The purpose of this paper is to investigate the link between technical school building conditions and student satisfaction with the school buildings. Learning more about the relationship between the measures will be useful for researchers who are studying the effect from physical work conditions on student achievement.

The paper aims to study the correlation between technical condition and user satisfaction with school buildings using two different data sources. The first source is administrative data, where the local governments have reported the condition of their school buildings to a national investigation of school building conditions. The second source is survey data where students in Norwegian primary schools report their satisfaction with their learning environment, including the school buildings. Combining the two data sources provides a unique data set for a large number of Norwegian primary schools.

The measures of technical and subjective condition are significantly correlated, but the correlation is far from 100 percent. Hence, it will be of great interest for researchers to look more into potential effects from subjective measures of building condition.

The paper provides an investigation of the link between two different measures of building conditions that can both be relevant to use in studies of how school buildings affect student performance.

The purpose of this paper is to examine how environmental design features of a green building contribute to the formation of employees’ organization image (OIM) through better environmental awareness (EAW) within employees.

Based on a comprehensive literature review on environmental design features of a building, a theoretical model was proposed for investigation. Three putative paths linking workspace (WSP) to EAW, departmental space (DSP) to EAW and EAW to OIM were then tested relying on a survey data of 362 employees collected from three Leadership in Energy and Environmental Design certified buildings by using structural equation modeling methodology as prescribed by Hair et al.

Significant evidence was found in support of all three purposed paths. Further, the study found that workspace and the DSP together explained around 46 percent of the variance in employee’s EAW, which then explained around 54 percent of the variance in the formation of the employees’ OIM.

The study drew data only from green certified organizations. Future research should involve other green organizations or a larger sample of green buildings. The size and character of the sample were restricted by organizational constraints.

The organizations need to be extremely cautious of green concerns during the design phase in order to capitalize on the yields of better employees’ OIM. It also motivates the other organizational group toward the green building concept to increase the employees’ EAW and to enhance organizational values and image.

While the green concept has been a significant research topic for more than decades, barely any research has been conducted that focuses specifically on environmental design features of a green building on employees’ EAW and OIM. This study tries to make a link between green building design features with employees’ EAW and OIM. These links are rare in Indian perspective.

Digital twins provide enormous opportunities for smart buildings. However, an up-to-date intellectual landscape to understand and identify the major opportunities of digital twins for smart buildings is still not enough. This study, therefore, performs an up-to-date comprehensive literature review to identify the major opportunities of digital twins for smart buildings.

Scientometric and content analysis are utilised to comprehensively evaluate the intellectual landscape of the general knowledge of digital twins for smart buildings.

The study uncovered 24 opportunities that were further categorised into four major opportunities: efficient building performance (smart “building” environment), efficient building process (smart construction site environment), information efficiency and effective user interactions. The study further identified the limitations of the existing studies and made recommendations for future research in the methodology adopted and the research domain. Five research domains were considered for future research, namely “real-time data acquisition, processing and storage”, “security and privacy issues”, “standardised and domain modelling”, “collaboration between the building industry and the digital twin developers” and “skilled workforce to enable a seamless transition from theory to practice”.

All stakeholders, including practitioners, policymakers and researchers in the field of “architecture, engineering, construction and operations” (AECO), may benefit from the findings of this study by gaining an in-depth understanding of the opportunities of digital twins and their implementation in smart buildings in the AECO industry. The limitations and the possible research directions may serve as guidelines for streamlining the practical adoption and implementation of digital twins for smart buildings.

This study adopted scientometric and content analysis to comprehensively assess the intellectual landscape of relevant literature and identify four major opportunities of digital twins for smart building, to which scholars have given limited attention. Finally, a research direction framework is presented to address the identified limitations of existing studies and help envision the ideal state of digital twins for smart buildings.

Green buildings have proven to be essential contributors to the sustainability of buildings in the construction industry. However, in developing economies, the rate of green building adoption is slow. Moreover, the factors linked to a relatively slow adoption rarely feature in the literature. This study seeks to bridge the gap by first exploring factors influencing the adoption of green buildings. Second, analysing strategies and preferences determining the adoption of green building principles and lastly, exploring case-based opportunities for their adoption in Tanzania.

Semi-structured interviews were conducted to collect qualitative data from twelve key informants. The qualitative data were analysed using content analysis.

The findings indicate that the most influential factors in green building adoption are related to key organizational decisions. Moreover, social and environmental factors are more related to green building adoption than economic factors. In addition, energy and water efficiency are the most commonly adopted sustainability features, while certified materials, recycling and reusing are rarely implemented.

Since green building adoption is still in its infancy, this study informs policymakers, professional bodies, developers, and researchers of the empirically supported factors for green building adoption. The conclusions can be amplified within the sustainability movement.

This study provides an in-depth understanding of the precursors of green building adoption, which is increasingly becoming a paradigm shift in the construction sector. The study is the first to present an in-depth analysis of the real-life factors influencing the adoption of green buildings in Tanzania.

The built environment is taking enormous leaps towards its digitalization. Computer-aided tools such as building information modeling (BIM) are found in the forefront of this evolution, playing a critical role in creating the foundations for the upcoming development of smart low-carbon cities. However, the potential of BIM is still untapped – links will need to be created among the available and forthcoming methodologies under one integral operational system. The purpose of this paper is to present an integrated BIM-based life cycle-oriented framework for achieving sustainable constructions at the pre-construction phase. The developed framework represents an example of the approaches that the construction industry will need to adopt to integrate the different tools under an integrated smart city context.

The methodological approach follows the development of four same-volume different-configuration three-dimensional BIM designs, which are coupled with life cycle assessment (LCA) tools for establishing sustainable building design.

The results of this paper indicated that the choice of building design and shape can play a significant role in reducing the embodied energy and embodied carbon of buildings, achieving a reduction of up to 15% compared to a reference building of same volume and gross floor area.

The originality of this paper is found in its approach application by coupling three-dimensional BIM models with LCA data, the use of reinforcement detailing in an nD BIM study and the employment of country-specific LCA databases.

This paper aims to examine the impact of humble leadership on project success. The authors propose that such an effect is mediated by team-building, and top management support moderates the direct relationship (humble leadership and project success) as well as an indirect relationship through team-building.

Data were collected from 337 individuals employed in the information technology sector of Pakistan. A two-step approach consisting confirmatory factor analysis and structural equation modeling was used for analysis. To examine conditional direct and indirect effects, the authors utilized model 8 in PROCESS.

The results showed that humble leadership is positively related to project success. Furthermore, team-building partially mediates the relationship between humble leadership and project success. Moreover, top management support was anticipated to have a moderating effect on the direct and indirect link (via team-building) between humble leadership and project success.

Drawing on the conservation of resources theory, this study found that how humble leadership is vital for project success, and thus, extends the utility of the concept of humble leadership to the project literature.