Integrating RC Bridge Defect Information into BIM Models
نویسندگان
چکیده
منابع مشابه
IntegratIng BIM Into ConstruCtIon ManageMent eduCatIon
Construction education needs to embrace the opportunities and overcome the challenges presented by Building Information Modeling (BIM) to remain current and relevant. Although a growing number of university architecture, engineering and construction (AEC) programs have begun to offer courses that include BIM content, few programs have strategies in place to fully integrate BIM across curriculum...
متن کاملAssessing the Performance of Corroding RC Bridge Decks: A Critical Review of Corrosion Propagation Models
Corrosion of steel reinforcement is one of the most prevalent causes of reinforced concrete (RC) structures deterioration in chloride-contaminated environments. As a result, evaluating the impact of any possible corrosion-induced damages to reinforced concrete bridges strongly affects management decisions: such as inspection, maintenance and repair actions. The corrosion propagation phase is a ...
متن کاملIntegrating the BIM Rule Language into Compliant Design Audit Processes
Extracting the right information from Building Information Models (BIM) and Regulatory Knowledge Models (RKM) is a core activity in computer-aided compliance audit processes. Despite many research attempts, however, this has remained a challenging task. One reason is that BIM is necessarily a highly complex model. Representing all components of such a complex object as a building is a huge chal...
متن کاملIntegrating 'omic' information: a bridge between genomics and systems biology.
The availability of genome sequences for several organisms, including humans, and the resulting first-approximation lists of genes, have allowed a transition from molecular biology to 'modular biology'. In modular biology, biological processes of interest, or modules, are studied as complex systems of functionally interacting macromolecules. Functional genomic and proteomic ('omic') approaches ...
متن کاملIntegrating mechanistic and statistical deterioration models for effective bridge management
This paper presents a two-level approach for the maintenance management of aging highway bridges that integrates two different probabilistic deterioration prediction models. The level-1 management is based on Markovian cumulative damage models that predict the macro-response of bridge structures. The level-2 management is based on quantitative reliability-based mechanistic deterioration models ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Computing in Civil Engineering
سال: 2018
ISSN: 0887-3801,1943-5487
DOI: 10.1061/(asce)cp.1943-5487.0000744