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一种港口塔吊水平风荷载预报模型的设计和实现
引用本文:龙强,王畅,王锋,项青霞,蒋琳琳.一种港口塔吊水平风荷载预报模型的设计和实现[J].海岸工程,2016,35(1):66-74.
作者姓名:龙强  王畅  王锋  项青霞  蒋琳琳
作者单位:1. 曹妃甸工业区气象局,河北 唐山,063015;2. 曹妃甸工业区气象局,河北 唐山 063015; 唐山市气象局,河北 唐山 063000;3. 冀东油田志达公司,河北 唐山,063020
基金项目:中国气象局气象关键技术集成与应用项目---黄渤海港口安全运营气象服务技术集成与示范(CMAGJ2015M5)
摘    要:利用2012-06—2013-05渤海湾北岸曹妃甸港100m风能塔风观测资料,研究了空气动力学粗糙度z0的月变化特征及其和地面10m风速之间的关系,并针对港口安全运营调度精细化气象服务保障需求,设计了一种港口塔吊定点、定量水平风荷载的预报模型。结果表明:受海陆风和周围环境的季节性变化影响,渤海湾北岸z0具有明显的月变化特征;通过拟合确立了z0和地面10m处10min平均风速在海-陆风和陆-海风两个方位上的粗糙度方程,梯度风速计算试验显示方程稳定可用;基于以上结论建立了定点、定量风荷载预报模型,预报试验和程序开发结果表明,基于上述结论所建立的港口塔吊水平风荷载计算模型正确可行,更适用于风险预报业务。

关 键 词:空气动力学粗糙度  梯度风  风荷载  预报模型

Design and Implementation of Horizontal Wind Load Forecasting Model for Port Cranes
Abstract:The monthly changing characteristics of aerodynamic roughness z0 and the re-lationship between z0 and the average wind speed at 10 meters above the ground are in-vestigated by using the wind data observed on a 100-meter-high wind energy tower loca-ted at the Caofeidian Port on the northern coast of the Bohai Bay from June 2012 to May 2013.The results have indicated that because of the influences of seasonal changes in land and sea breeze and surrounding environment the z0 on the northern coast of the Bo-hai Bay varies monthly and significantly.By using fitting methods,equations are built up between the z0 and the 10min average wind speed at 10 meters above the ground in the sea-land and the land-sea breeze directions.The gradient wind speed calculation tests have indicated that the above two equations are stable and practicable.Based on all the above conclusions,a fixed point and quantitative horizontal wind load forecasting model for port cranes is designed and established for the requirements of fine weather service support for safety operation dispatching of the port.The results from the tests of the forecasting model and the program developments have shown that the forecasting model thus established is correct,feasible and even more suitable for the risk forecasting service.
Keywords:aerodynamic roughness  gradient wind  wind load  forecasting model
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