Simulation Analysis of Mass Concrete Temperature Field

AbstractThe cracking phenomenon of mass concrete in the foundation mat of high-rise building is a key issue concerned by the engineering. The temperature control of mass concrete has great significance in assuring the project quality. At present, the temperature control in engineering practice is mostly limited to the temperature monitor. In this paper, MIDAS finite element analytical software was used to simulate the temperature field of mass concrete in a certain high-rise building foundation, the change rules of temperature and temperature stress with the time was calculated and analyzed by finite element analysis; at the same time, simulation result was verified by the temperature measurement data. It concludes that key to temperature control of mass concrete lies in the dual control of temperature and temperature stress. The simulation analysis of finite element procedure is feasible as an auxiliary method of temperature control and management

A Content-Based Publish/Subscribe Matching Algorithm for 2D Spatial Objects

Part 5: Notification and StreamingInternational audienceAn important concern in the design of a publish/subscribe system is its expressiveness, which is the ability to represent various types of information in publications and to precisely select information of interest through subscriptions. We present an enhancement to existing content-based publish/subscribe systems with support for a 2D spatial data type and eight associated relational operators, including those to reveal overlap, containment, touching, and disjointedness between regions of irregular shape. We describe an algorithm for evaluating spatial relations that is founded on a new dynamic discretization method and region-intersection model. In order to make the data type practical for large-scale applications, we provide an indexing structure for accessing spatial constraints and develop a simplification method for eliminating redundant constraints. Finally, we present the results of experiments evaluating the effectiveness and scalability of our approach

Spatial Pictogram Enhanced Conceptual Data Models and Their Translation to Logical Data Models

The successful development of any geographic information system project needs the careful design and implementation of spatial databases via conceptual and logical data-modeling. This involves understanding the underlying spatial data model, spatial data types and operators, spatial query languages and spatial indexing techniques. Conventional entity-relationship diagrams have limitations for conceptual spatial data-modeling, since they get cluttered with numerous spatial relationships