Experimental Study of the Dynamic Characteristics of a New Antidrainage Subgrade Structure for High-Speed Railways in Diatomaceous Earth Areas

The experience needed to carry out engineering and construction in diatomaceous earth areas is currently lacking. This project studies the new Hang Shaotai high-speed railway passing through a diatomaceous earth area in Shengzhou, Zhejiang Province, and analyzes the hydrological and mechanical properties of diatomaceous earth on the basis of a field survey and laboratory. Moreover, a new antidrainage subgrade structure was proposed to address the rainy local environment, and field excitation tests were performed to verify the antidrainage performance and stability of the new subgrade structure. Finally, the dynamic characteristics and deformation of the diatomaceous earth roadbed were examined. The hydrophysical properties of diatomaceous earth in the area are extremely poor, and the disintegration resistance index ranges from 3.1% to 9.0%. The antidrainage subgrade structure has good water resistance and stability under dynamic loading while submerged in water. After 700,000 loading cycles, the dynamic stress and vibration acceleration of the surface of the subgrade bed stabilized at approximately 6.37 kPa and 0.94 m/s2, respectively. When the number of excitations reached 2 million, the settlement of the diatomaceous earth foundation was 0.08 mm, and there was basically negligible postwork settlement of the diatomaceous earth foundation. These results provide new insights for engineering construction in diatomaceous earth areas.

INTEGRATION OF BIM AND MOBILE AUGMENTED REALITY IN THE AECO DOMAIN

BIM (Building Information Modeling) is increasingly present in a wide range of applications (architecture, engineering, construction, land use planning, utility management, etc.). BIM allows better management of projects through precise planning, communication and collaboration between several stakeholders as well as facilitating the monitoring of project operations. The emergence of Augmented Reality (AR) technology allows the superposition of (2D, 3D) information directly on the physical world, so generating immersive, interactive and enriching experiences for the user. To take advantages of BIM and AR potential in the interaction and the intuitive management in AECO (Architecture, Engineering, Construction and Operation) projects, we propose a BIM-based AR workflow through an application called "EasyBIM". This latter allows access and interaction with a BIM model through functionalities for measurement, data consultation, collaboration, visualization and integration of information from sensors. The application is developed for mobile platforms (tablet, smartphone), and has as input an IFC file (Industry Foundation Classes). Promising test results show that the developed solution can be easily integrated into a BIM context for several use cases: marketing, collaboration, site monitoring, facility management, etc.

Three-Dimensional Printing Strategies for Irregularly Shaped Cartilage Tissue Engineering: Current State and Challenges

Although there have been remarkable advances in cartilage tissue engineering, construction of irregularly shaped cartilage, including auricular, nasal, tracheal, and meniscus cartilages, remains challenging because of the difficulty in reproducing its precise structure and specific function. Among the advanced fabrication methods, three-dimensional (3D) printing technology offers great potential for achieving shape imitation and bionic performance in cartilage tissue engineering. This review discusses requirements for 3D printing of various irregularly shaped cartilage tissues, as well as selection of appropriate printing materials and seed cells. Current advances in 3D printing of irregularly shaped cartilage are also highlighted. Finally, developments in various types of cartilage tissue are described. This review is intended to provide guidance for future research in tissue engineering of irregularly shaped cartilage.

Association Mining of Near Misses in Hydropower Engineering Construction Based on Convolutional Neural Network Text Classification

Accidents of various types in the construction of hydropower engineering projects occur frequently, which leads to significant numbers of casualties and economic losses. Identifying and eliminating near misses are a significant means of preventing accidents. Mining near-miss data can provide valuable information on how to mitigate and control hazards. However, most of the data generated in the construction of hydropower engineering projects are semi-structured text data without unified standard expression, so data association analysis is time-consuming and labor-intensive. Thus, an artificial intelligence (AI) automatic classification method based on a convolutional neural network (CNN) is adopted to obtain structured data on near-miss locations and near-miss types from safety records. The apriori algorithm is used to further mine the associations between “locations” and “types” by scanning structured data. The association results are visualized using a network diagram. A Sankey diagram is used to reveal the information flow of near-miss specific objects using the “location ⟶ type” strong association rule. The proposed method combines text classification, association rules, and the Sankey diagrams and provides a novel approach for mining semi-structured text. Moreover, the method is proven to be useful and efficient for exploring near-miss distribution laws in hydropower engineering construction to reduce the possibility of accidents and efficiently improve the safety level of hydropower engineering construction sites.

Geotechnical Properties Study of Soil Bank Slopes for Shatt Al-Hilla, Middle of Iraq

The central regions of Babylon Governorate, located on the Shatt Al-Hilla, suffer from problems as the collapse and erosion of its banks, increase in sedimentation in the river, which reduces the river flow efficiency and forms meanders in the river. After the reconnaissance visit to determine the meandering sites. A detailed study of the area was carried out by drilling 6 test boreholes representing three areas (Ancient Babylon, Bata-Bridge, and Al-Khusrweya), two wells on both sides of the meander at a depth of 10m for each borehole to know soil properties, bearing capacity and consolidation, and its effect on the engineering construction. Soil samples have been taken to carry out geotechnical tests. also conducted a study of banks stability for three stations, where the cross-section was monitored by the M9 device and the height of the banks from both sides by the LEVEL device, using the Geo-Studio-2021 program with soil properties and by using Bishop method the safety factor was extracted for the three stations for erosion-prone areas. it was 3.44 in Ancient Babylon, Bata-Bridge was 1.7 and Al-Khusrweya was 1.6 Under natural conditions, the average river flow level reaches it in year respectively are 27.88, 27.74, 27.33 m, above sea level. Where all the stations were safe unless the water level increased or decreased. Also, the research reached a determination of the allowable bearing capacity reaches it before the landslide.

Research on the Hybrid Teaching Model in Computer Courses Based on the OBE Concept

At present, the demand for high-tech practical talents in China is increasing. It is particularly important to concoct a teaching model, which adapts to the national new engineering construction strategy based on the current situation of college computer learning and teaching, for computer courses. In view of the existing problems in the teaching of computer courses, there is a transformation from process-oriented to result-oriented in this study, combining online information teaching and offline classroom teaching as well as proposing a hybrid teaching model based on the OBE concept. This article assumes the public basic computer course for engineering majors as an example to explain and summarize the hybrid teaching model based on the OBE concept from the whole teaching process.

Research on Distribution Network Reliability Investment Estimation Method Based on Sequence Linearization Correlation Analysis

This paper presents an estimation method of distribution network reliability planning Investment Based on sequence linearization correlation analysis. Firstly, the planning business index closely related to reliability are selected, and the control objectives of reliability index are decomposed into the promotion objectives of each planning business index through sequence linearization correlation analysis. Then, the typical engineering construction scenarios corresponding to each planning business index are constructed, and the investment required to achieve the corresponding promotion objectives of business index is estimated according to the typical scenarios, Finally, the total investment of reliability planning is obtained. The example shows that the method can be applied to the actual distribution network with complex grid conditions and various planning schemes, and can provide powerful guidance for power supply enterprises to improve the efficiency of capital use