Water-Depth-Based Prediction Formula for the Blasting Vibration Velocity of Lighthouse Caused by Underwater Drilling Blasting

Abstract

Lighthouses are the most important hydraulic structures that should be protected during underwater drilling blasting. Thus, the effect of blasting vibration on lighthouse should be studied. On the basis of the dimensional analysis, we deduced a revised formula for water depth based on Sodev's empirical formula and established the linear fitting model. During the underwater reef project in the main channel of Shipu Harbor in the Ningbo-Zhoushan Port, the blasting vibration data of the lighthouse near the underwater blasting area were monitored. The undetermined coefficient, resolvable coefficient, and value of the two formulas were then obtained. The comparison of the data obtained from the two formulas showed that they can effectively predict the blasting vibration on the lighthouse. The correction formula that considers water depth can obviously reduce prediction errors and accurately predict blasting vibration.

Study on the Attenuation Characteristics of Seismic Wave Energy Induced by Underwater Drilling and Blasting

“…In general, PPV (v), seismic wave energy (E), seismic wave frequency (f ), and seismic wave duration (t) are the primary parameters to describe the effect of blasting seismic wave [13,30]. In underwater blasting engineering, maximal charge per delay and distance from the measured point to the blast-face have remarkable influence on SWE, and geological conditions and rock properties also have major effect on it [26,31].…”

“…As seen from the table, totally 11 influential parameters are adopted to quantify the intensity of seismic wave induced by underwater drilling and blasting. According to the π theorem, Q, R, and c are selected to be the basic physical variables [13]:…”

“…e vibration attenuation law and elevation effect of underwater drilling and blasting were studied by nonlinear regression and robust regression [10,11]. Gu et al [12,13] deduced a revised formula for water depth and obtained PPVs in water bottom and shore. In order to improve the prediction accuracy, the genetic algorithm has been widely used to fit PPV [13][14][15].…”

“…Gu et al [12,13] deduced a revised formula for water depth and obtained PPVs in water bottom and shore. In order to improve the prediction accuracy, the genetic algorithm has been widely used to fit PPV [13][14][15]. Khandelwal and Singh [16][17][18] applied various artificial neural networks to predict PPV, and all achieved good results.…”

Blast Induced Crack Propagation and Damage Accumulation in Rock Mass Containing Initial Damage

“…To calculate and predict PVV or BVV, a variety of models have been proposed in the literature based on empirical and/or semiempirical formulae using field monitoring data [14,15], artificial intelligence algorithms [16][17][18], and numerical analysis [19,20]. In addition, a sophisticated blast modelling research tool, namely, the Hybrid Stress Blasting Model (HSBM) has become the latest development within the blasting modelling field and has been validated to be capable of predicting the extent and shape of blast induced damage zone and accounting for the effect of point of initiation and free face boundary conditions [21].…”