2023-08-28

The 19th China CAE Engineering Analysis Technology Conference and the 5th China Digital Simulation Forum were successfully held in Xiamen, Fujian Province, from August 18th to 20th. The theme of this year's conference was "Simulation Leading Intelligent Manufacturing, Digital Driving Twinning."

Among them, the 18th was the keynote report of the conference, I attended the conference, and made a special invited report on the topic of "The fundamental way to achieve China's 'double carbon' goal", introducing the current situation of China's "carbon neutrality". On the evening of the 18th, the award ceremony of the "Yundao Cup" China Digital Simulation Competition was held. The team of the research group won the second prize of the university group of the Digital simulation Innovation Competition, and the paper submitted by the research group "The Application research of digital twin in the installation of offshore wind power" won the excellent paper award. On the 20th, members of the research group participated in the offshore engineering and petroleum equipment simulation application Forum, and reported on the submitted papers, demonstrating the application feasibility of digital twins in offshore wind power installation.

The China CAE Engineering Analysis Technology Annual Conference is currently the largest and most influential professional exchange event in our country, with the highest level of technology. The conference was attended by more than 800 offline and more than 8,000 online representatives from scientific research institutes, enterprises, universities and major media across the country, providing a valuable platform for strengthening research, sharing and cooperation in the field of CAE.

2023-08-25

"Prediction of Magnitude and Epicentral Distance Based on Neural Network" has been published in the journal of Municipal Technology.

In order to predict rapidly the magnitude and epicentral distance, various machine learning techniques including convolutional neural network, fully connected neural network, GELU activation function, dropout and multi-task learning were applied to establish an efficient model for predicting the magnitude and epicentral distance. The model was trained, validated, and tested by the Stanford Earthquake Dataset （STEAD）. The predicted values demonstrated a better positive correlation with the actual ones, with determination coefficients of 0.938 and 0.881 for magnitude and epicentral distance respectively. These results provides new ideas and methods for the development of earthquake warning systems.

2023-08-03

"Architecture and Key Technologies of Big Data Platform for Highway Engineering Safety" has been first published in "Highway" on CNKI.

A large number of safety-related data will be generated during the execution of highway project, which is difficult to be systematically managed and fully utilized. Firstly, the classification, content and collection method of safety data in the process of highway construction are explained, and the characteristics and processing requirements of safety data are analyzed. Secondly, the architecture of big data platform for highway engineering safety is constructed, and the main levels of the platform are briefly explained. Finally, four key technologies of data pre-processing, data fusion and storage, data asset management, data analysis and mining for highway construction safety are analyzed in detail. The results show that:(1) The data of highway project implementation can be divided into seven categories, such as basic data, structure, machinery and equipment, etc., and data processing should meet the requirements, such as data extraction from heterogeneous data sources, etc.(2) The architecture of big data platform for highway project safety can be divided into six layers: data source layer, data access and pre-processinglayer, etc.(3) The key technologies of platform include data pre-processing, data fusion and storage, etc.

Note: Highway is a core journal of science and technology in the category of comprehensive technology.

2023-07-18

"Web-oriented Dynamic 3D Visualization of Construction Processes" has been published in the journal of Construction Technology.

Aiming at the problems such as difficult to update, limited software environment or non-dynamic existing 3D visualization methods of construction processes, this paper proposes a web-oriented 3D dynamic visualization method of construction processes based on Cesium, including relative data models and animation definition, and a rapid 3D animation generation method based on frame segmentation and integration approaches. An efficiency test proves that the performance of frame segmentation and integration algorithms can meet the needs of general animation of construction processes. Besides, the above method is applied to show a case construction process on the web and to support online editing, playing, and updating of the process step animation, which verifies the feasibility of using the method in actual projects.

2023-07-07

Simulation Analysis of the Dispersion of Typical Marine Pollutants by Fusion of Multiple Processes has been published in the journal Sustainability.

The rapid development of coastal economies has aggravated the problem of pollution in the coastal water bodies of various countries. Numerous incidents of massive-scale marine life deaths have been reported because of the excessive discharge of industrial and agricultural wastewater. To investigate the diffusion of typical pollutants after discharge, in this study, a multi-process fusion simulation analysis model of pollutants under the action of ocean currents was established based on the concentration analysis method. Furthermore, key technologies involved, such as the parameter value, data selection, and visualization, were investigated. The iterative analysis and programming realization of three independent sub-processes, such as pollutant diffusion and transport, and the drift path and concentration distribution of pollutants after their discharge into the sea, were visualized. The case study revealed that the increase in the concentration of pollutants in the ocean was affected by the diffusion sub-process, and the transport sub-process plays a critical role in the long-distance transport of pollutants. The proposed method can provide technical support for marine environmental risk assessment and dynamic tracking of marine pollutants.

Note: Sustainability is an important journal in the field of environmental science and ecology and a core journal in Q2, with an impact factor of 3.9 in 2023.