کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6479059 1428279 2017 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Weather-wise: A weather-aware planning tool for improving construction productivity and dealing with claims
ترجمه فارسی عنوان
آب و هوا: ابزار برنامه ریزی آب و هوا برای بهبود بهره وری ساخت و ساز و برخورد با ادعا
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی عمران و سازه
چکیده انگلیسی


- Unforeseen, extreme weather usually negatively impacts construction productivity.
- Practitioners could not count on sound methods for harnessing the weather effect.
- Key weather thresholds that affect construction activities are identified.
- A stochastic model that replicates spatio-temporal historical weather is proposed.
- Construction projects working weather-wise can be shortened 5-20% on average.

The influence of unforeseen, extreme weather in construction works usually impacts productivity, causes significant project delays and constitutes a frequent source of contractor's claims. However, construction practitioners cannot count on sound methods for mediating when weather-related claims arise, nor harnessing the influence of weather variability in construction projects. Building on the few most recent quantitative studies identifying those key weather agents and levels of intensity that affect some standard building construction activities, a new stochastic model that processes and replicates the spatio-temporal variability of combined weather variables is proposed. This model can help anticipate weather-related project duration variability; improving construction productivity by selecting the best project start date; and objectively evaluating weather-related claims. A two-building construction case study using different Spanish locations is used to demonstrate the model. The results showed that ignoring the influence of weather can lead to an extension of 5-20% longer project duration compared to planned.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Automation in Construction - Volume 84, December 2017, Pages 81-95
نویسندگان
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