An earthquake damage forecasting method based on the result of earthquake risk analysis is proposed, which has the same result as that of seismic risk analysis.
本文提出了一种基于地震危险性分析结果的震害预测方法，其震害预测结果与地震危险性分析结果相一致。
It shows a high theoretical and practical value, and establishes a theoretical and technical foundation for the study of controlling and forecasting blast vibration damage.
该方法具有较高的理论和应用价值，为系统开展爆破震动危害控制和预测研究奠定了理论和技术基础。
The fatigue breakage is one important of damage style in mechanic fractures. Forecasting structure fatigue life is very important.
疲劳破坏是机械结构的主要破坏形式之一，准确预测机械结构工作疲劳寿命至关重要。
For a water drive tight gas reservoir, the accurate calculation of water influx is an important job for forecasting water invasion performance and preventing aqueous phase trapping damage.
在致密气藏开发过程中，水侵量的准确计算是预测水侵开发动态及防治水相圈闭损害的重要内容。
Finally some suggestions concerning forecasting methods of casing damage are proposed.
最后提出了套损预测方法中尚待研究的问题。
The strain gradient enhanced damage model based on strain gradient theory and continuum damage mechanics is established and applied to forecasting the localized damage in rock material.
本文提出基于应变梯度的损伤模型，并用于材料局部化损伤模拟预测中。
Forecasting of the blasting vibration is always the premise and basis of the controlling of the blasting vibration damage, and is an important subject of it.
爆破震动强度的预测一直是爆破震动危害控制的前提和基础，也是其研究的一个重要课题。
The fuzzy model for earthquake-caused disaster forecasting is extended to include the estimation of quantity of various kinds of buildings with different damage grades.
运用笔者建议的基于模糊近似推断原理的震害预测总体模型，可以得到一个城市或一个地区适当划分的每个小区的各类建筑物的震害度。
In the electric load forecasting, the shortage and damage data may be encountered when historical data information are collected. This paper puts forward a number of methods to solve these problems.
基于在电力负荷预测前期收集历史数据资料时，可能遇到历史数据数据缺损的情况，为此提出了多种对缺损数据的处理方法。
In the electric load forecasting, the shortage and damage data may be encountered when historical data information are collected. This paper puts forward a number of methods to solve these problems.
基于在电力负荷预测前期收集历史数据资料时，可能遇到历史数据数据缺损的情况，为此提出了多种对缺损数据的处理方法。
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