Design of High Rise Concrete Building

Failure design of high-rise concrete panels under fire loading

High-Rise Reinforced Concrete Structures: Database-Assisted Design for Wind

Advances in wind pressure measurement and computer technology have made time-domain analyses of wind effects on high-rise structures possible in recent years. Time-domain solutions use aerodynamic and wind climatological databases and provide full phase information on wind-induced response that is lost in the frequency-domain approach; therefore, they can account rigorously for the superposed e...

Current Design of High-Rise Building Drainage System in Taiwan

The main purpose of the research is to find the solution of drainage issues in high-rise building through the observation and basic study of stack fluid mechanism. Firstly, we will investigate the existing high-rise buildings and summarize the design methodology from our previous researches. Through the observations and reviews, this paper would conclude the solutions for existing drainage prob...

CRITICAL INCIDENT ANGLE FOR THE MINIMUM COST DESIGN OF LOW, MID AND HIGH-RISE STEEL AND REINFORCED CONCRETE-COMPOSITE BUILDINGS

One of the main tasks of engineers is to design structural systems light and economic as possible, yet resistant enough to withstand all possible loads arising during their service life and to absorb the induced seismic energy in a controlled and predictable fashion. The traditional trial-and-error design approach is not capable to determine an economical design satisfying also the code require...

COST ESTIMATION OF HIGH PERFORMANCE CONCRETE (HPC) HIGH- RISE COMMERCIAL BUILDINGS BY NEURAL NETWORKS High-rise commercial buildings

Neural network approach is applied to establish relationships between the quantities/cost of the concrete/formwork, which is required for the structural elements of tall buildings using high performance concrete (HPC), and the design variables. Hybrid and hierarchical strategies are proposed for the cost estimation, where the feed-forward networks are adopted. After training, the neural network...