• The Journal of Asian Finance, Economics and Business
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• 제9권2호
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• pp.113-120
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• 2022

The goal of this study is to see if there's a relationship between employees' ambidextrous behaviors and macro facilitators of organizational empowerment (such as control over workplace decisions, dynamic structural framework, and fluidity in information sharing) (exploration and exploitation). To acquire data, this study uses survey methods. A cross-sectional survey was done to collect information from academics at five large public sector universities in Pakistan's Balochistan province. Control over workplace decisions boosts academics' engagement in exploration and exploitation, while a dynamic structural framework merely increases their engagement in exploration, according to the findings based on data from 240 respondents (n = 240). The findings also show that information sharing flexibility has little effect on exploration and exploitation behaviors. In conclusion, the results of this study imply that organizational empowerment is critical for academics' ambidextrous behaviors to thrive. As a result, specific organizational facilitators of empowerment (such as control over workplace decisions and a dynamic structural framework) are advised in higher education institutions. This research is significant because it develops and tests a model that explains hitherto unexplored connections between macro facilitators of organizational empowerment and employees' ambidextrous behaviors. In addition, the research provides important insights for managerial practice and research.

• Structural Engineering and Mechanics
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• 제30권3호
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• pp.331-350
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• 2008

A framework for multi-platform analytical and multi-component hybrid (testing-analysis) simulations is described in this paper and illustrated with several application examples. The framework allows the integration of various analytical platforms and geographically distributed experimental facilities into a comprehensive pseudo-dynamic hybrid simulation. The object-oriented architecture of the framework enables easy inclusion of new analysis platforms or experimental models, and the addition of a multitude of auxiliary components, such as data acquisition and camera control. Four application examples are given, namely; (i) multi-platform analysis of a bridge with soil and structural models, (ii) multiplatform, multi-resolution analysis of a high-rise building, (iii) three-site small scale frame hybrid simulation, and (iv) three-site large scale bridge hybrid simulation. These simulations serve as illustrative examples of collaborative research among geographically distributed researchers employing different analysis platforms and testing equipment. The versatility of the framework, ease of including additional modules and the wide application potential demonstrated in the paper provide a rich research environment for structural and geotechnical engineering.

• Smart Structures and Systems
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• 제5권2호
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• pp.193-207
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• 2009

A framework for structural health monitoring (SHM) systems is presented utilizing a recent 3.5 generation mobile telecommunication technology, HSDPA (High Speed Downlink Packet Access). It may be effectively applied to monitoring bridges, cut-slopes, and other facilities located in rural areas where the conventional Internet service is not readily available, since HSDPA is currently commercialized in 86 countries to make the Internet access possible in anywhere the mobile phone service is available. The proposed SHM framework is also incorporating remote desktop software to have remote control/operation of the SHM systems. The feasibility of the proposed framework has been demonstrated by field tests on a highway bridge in operation. One can expect that fast advances in the mobile telecommunication technology will further enhance the performance of the SHM network using the proposed framework for bridges and other facilities located in remote areas without the conventional wired Internet service.

• Structural Monitoring and Maintenance
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• 제9권4호
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• pp.337-357
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• 2022

The objective of this study is to present a data-driven machine learning (ML) framework for predicting ultimate shear strength and failure modes of reinforced concrete ledge beams. Experimental tests were collected on these beams with different loading, geometric and material properties. The database was analyzed using different ML algorithms including decision trees, discriminant analysis, support vector machine, logistic regression, nearest neighbors, naïve bayes, ensemble and artificial neural networks to identify the governing and critical parameters of reinforced concrete ledge beams. The results showed that ML framework can effectively identify the failure mode of these beams either web shear failure, flexural failure or ledge failure. ML framework can also derive equations for predicting the ultimate shear strength for each failure mode. A comparison of the ultimate shear strength of ledge failure was conducted between the experimental results and the results from the proposed equations and the design equations used by international codes. These comparisons indicated that the proposed ML equations predict the ultimate shear strength of reinforced concrete ledge beams better than the design equations of AASHTO LRFD-2020 or PCI-2020.

• Structural Engineering and Mechanics
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• 제37권1호
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• pp.17-37
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• 2011

This paper presents a new Internet-based computational framework for the realistic simulation of multi-scale response of structural systems. Two levels of parallel processing are involved in this frame work: multiple local distributed computing environments connected by the Internet to form a cluster-to-cluster distributed computing environment. To utilize such a computing environment for a realistic simulation, the simulation task of a structural system has been separated into a simulation of a simplified global model in association with several detailed component models using various scales. These related multi-scale simulation tasks are distributed amongst clusters and connected to form a multi-level hierarchy. The Internet is used to coordinate geographically distributed simulation tasks. This paper also presents the development of a software framework that can support the multi-level hierarchical simulation approach, in a cluster-to-cluster distributed computing environment. The architectural design of the program also allows the integration of several multi-scale models to be clients and servers under a single platform. Such integration can combine geographically distributed computing resources to produce realistic simulations of structural systems.

• 토지주택연구
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• 제4권2호
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• pp.193-200
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• 2013

건설공사에서 공기는 매우 중요한 요소로 건설사업비에 미치는 영향이 크다. 선진국들은 공기단축을 통해 건설사업비를 줄이고 있다. 국내 건설업체들도 공기단축을 위해 많은 노력을 기울이고 있지만, 공기단축 방법을 체계적으로 제시하지 못하고 있다. 일반적으로 골조공사의 공기는 거푸집의 존치기간에 영향을 받기 때문에 공기단축을 위해서는 거푸집의 존치기간을 단축해야 한다. 본 연구에서는 거푸집의 존치기간을 단축하기 위해 다양한 조건들의 조강콘크리트를 만들어서 압축강도 실험을 실시하였다. 이를 통해 거푸집의 탈형 시기를 제안하였다. 연구결과에 의하면 골조공사에 조강콘크리트를 사용하면 거푸집의 존치기간을 상당히 단축할 수 있는 것으로 나타났다. 본 연구결과들은 골조공사의 공기단축을 도모할 때 유용하게 활용될 수 있을 것이다.

• Composites Research
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• 제35권1호
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• pp.31-37
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• 2022

본 연구에서는 복합재료 블레이드의 최적 구조설계 프레임워크를 개발하고 이를 헬리콥터 블레이드에 적용하여 구조설계를 수행하였다. 개발된 최적 설계 프레임워크는 유전자 알고리즘과 입자 군집 최적화 알고리즘을 결합한 PSGA를 활용해 구성하였다. 이는 블레이드 단면에 대한 유한요소 모델 생성, 2차원 단면 유한요소 해석, 그리고 1차원 회전 보 해석의 단계를 거쳐 최적화 결과를 도출해낸다. 설계 과정에서 각 단면들은 B-spline으로 구성되며, 유한요소 생성 프로그램인 Gmsh를 활용해 모델링 된다. 이를 활용하여 최적화 과정에서 각 변수마다 대응되는 2차원 유한요소모델을 생성해 블레이드의 구조해석을 수행했다. 본 연구에서 제안한 프레임워크를 HART II 블레이드에 적용하여 최적 구조 설계를 수행했다. 최적 설계 결과 회전익 로터에서 요구하는 구조적 특징을 유지하면서, 공진회피와 질량 등의 조건이 개선된 블레이드 형상을 도출하였다.

• 한국지진공학회:학술대회논문집
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• 한국지진공학회 2002년도 추계 학술발표회 논문집
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• pp.285-291
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• 2002

This paper proposes the concept and the general framework of the risk-based seismic design. Because earthquakes and the behaviors of structures are very unpredictable, probabilistic seismic design methods have been proposed after deterministic design methods. Considering these changes, we can find that the important point of seismic design is not the structural behavior itself, but the consequence of structural behavior under possible earthquakes. Risk-based seismic design can tell these consequences under any earthquakes. In this paper, structural confidences are considered by using fragility curve, and risk is modeled by failure probability and consequence-property damage cost, casualty cost.

• Structural Engineering and Mechanics
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• 제40권6호
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• pp.763-782
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• 2011

Results from nonlinear time-history analyses of wall-frame structural models indicate that the condition of vulnerable foundations -for which uplifting and reaching the bearing capacity of the supporting soil can occur before yielding at the base of the shear walls- may not be necessarily detrimental to the drift response of buildings under strong ground motions. Analyses also show that a soil-foundation system can inherently have deformation capacity well in excess of the demand and thus act as a source of energy dissipation that protects the structural integrity of the shear walls.

• 한국건설관리학회논문집
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• 제7권1호
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• pp.148-158
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• 2006

공공발주기관의 동절기 공사불능기간의 운영은 공사기간을 길게 하고, 건설사업비를 증가시킨다 또한, 건설인력의 활용을 어렵게 하여 근로소득을 감소시킴으로써 국가 경제에도 나쁜 영향을 미친다. 그러므로 동절기에도 골조공사는 시행되어야 할 것이다. 그러나 동절기에 골조공사만 시행하고 마감공사를 시행하지 않을 경우, 골조공사의 빠른 진척이 마감공사의 주공정선에 영향을 미치게 됨으로 이에 대한 규명이 필요하다. 본 연구에서는 동절기 골조공사 시행이 마감공사의 주공정선의 작업기간에 미치는 영향을 규명하였다. 이를 위해 가상현장을 설정한 후, 이 현장을 대상으로 마감공사의 공정표와 주공정선, 전체 공정표 및 주공정선을 작성하고, 공정시뮬레이션을 실시하였다. 본 연구결과는 동절기 골조공사 시행 시 아파트 공사의 공기산정에 유용하게 활용될 수 있을 것이다.