چکیده مقاله
Based on available statistics, approximately 30% of Iran's total liquidity is circulating in the construction sector Excavation is one of the first and most critical steps in the majority of construction projects, and an inaccurate prediction of its duration can cause cascading delays in subsequent activities, significantly increasing costs Traditional estimation methods' reliance on personal judgment or limited experience makes them prone to biased and unreliable results This study examines various fields and methodologies used in recent years to evaluate and estimate the duration of different construction operations related to excavation, stabilization, and site preparation for structural operations Studies show that methods such as linear regression, computer vision, automatic assessment of activities, and artificial neural networks have been used in estimating the productivity and duration of excavation operations However, it is evident that developing a novel model to predict soil removal and stabilization duration with high accuracy and without human interpretations is vital Given the growing trend of artificial intelligence based approaches in construction, this research also reviews studies that apply AI techniques to estimate the duration of other construction processes
کلیدواژهها
نویسندگان
شیوه ارجاع
Sodagari, Alireza and Heravi, Gholamreza and Tavakolan, Mehdi and Alizadeh, Omid,1404,A Review of Estimation Methods for Excavation Duration,14th International Congress on Civil Engineering,Tehran
ارائهشده در
مجموعه مقالات چهاردهمین کنگره بین المللی مهندسی عمران29 مهر 1404 · تهران