技术
- 无人机 - 垂直起降/垂直起降混合无人机
- 基础设施即服务 (IaaS) - 混合云
适用行业
- 建筑物
- 建筑与基础设施
适用功能
- 产品研发
用例
- 智慧校园
- 结构健康监测
关于客户
Bush Bohlman & Partners 是一家总部位于加拿大温哥华的结构工程设计公司,以其在加拿大西部重大工程项目的创意专业知识而闻名。他们的产品组合包括医院、大学校园建筑、政府建筑、抗震改造、大型木材和高层木结构建筑。他们是大规模木结构的早期采用者,并拥有丰富的木材设计经验,可以处理在使用工程木材进行设计时需要面临的独特技术挑战的项目。
挑战
Bush Bohlman & Partners 是一家结构工程设计公司,负责不列颠哥伦比亚理工学院 (BCIT) 学生广场的结构分析和木材设计。该结构将作为该研究所的行人和公共交通用户网关,需要通过亲生命的设计和对可持续建筑实践的明显支持来建立强大的校园形象。混合体量木结构由交叉层压木 (CLT) 顶篷、CLT 柱和钢柱组成。行人舒适走道需要满足可持续性、可靠性和结构设计要求。该结构包括斜屋顶、屋顶 CLT 面板上的天窗开口以及由 CLT 和空心结构钢建造的支撑柱。工程师需要维持当前的结构模型,应用当地的木材设计规范,并分析悬臂屋顶板和不规则柱布局的复杂双向弯曲行为。
解决方案
工程师选择使用 S-TIMBER 来建模和分析 3D 结构。 Altair 与 Bush Bohlman 合作,确保在模拟结构时应用正确的建模参数。 S-TIMBER 能够在一次操作中对木材和钢构件进行混合分析,并对木材构件进行代码检查以确保其符合规范。使用 S-TIMBER 的内置和可定制材料数据库可以快速定义符合专有 CLT 要求的材料。建模自动化可以更轻松地响应设计修订引起的结构变化。在 Altair 技术支持团队的帮助下,工程师们利用 S-TIMBER 带状线集成功能来提取连接处和支撑柱的结构需求,从而进一步设计木材连接和支撑,从而克服了一些技术设计挑战。
运营影响
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
相关案例.
Case Study
Energy Saving & Power Monitoring System
Recently a university in Taiwan was experiencing dramatic power usage increases due to its growing number of campus buildings and students. Aiming to analyze their power consumption and increase their power efficiency across 52 buildings, the university wanted to build a power management system utilizing web-based hardware and software. With these goals in mind, they contacted Advantech to help them develop their system and provide them with the means to save energy in the years to come.
Case Study
IoT System for Tunnel Construction
The Zenitaka Corporation ('Zenitaka') has two major business areas: its architectural business focuses on structures such as government buildings, office buildings, and commercial facilities, while its civil engineering business is targeted at structures such as tunnels, bridges and dams. Within these areas, there presented two issues that have always persisted in regard to the construction of mountain tunnels. These issues are 'improving safety" and "reducing energy consumption". Mountain tunnels construction requires a massive amount of electricity. This is because there are many kinds of electrical equipment being used day and night, including construction machinery, construction lighting, and ventilating fan. Despite this, the amount of power consumption is generally not tightly managed. In many cases, the exact amount of power consumption is only ascertained when the bill from the power company becomes available. Sometimes, corporations install demand-monitoring equipment to help curb the maximum power demanded. However, even in these cases, the devices only allow the total volume of power consumption to be ascertained, or they may issue warnings to prevent the contracted volume of power from being exceeded. In order to tackle the issue of reducing power consumption, it was first necessary to obtain an accurate breakdown of how much power was being used in each particular area. In other words, we needed to be able to visualize the amount of power being consumed. Safety, was also not being managed very rigorously. Even now, tunnel construction sites often use a 'name label' system for managing entry into the work site. Specifically, red labels with white reverse sides that bear the workers' names on both sides are displayed at the tunnel work site entrance. The workers themselves then flip the name label to the appropriate side when entering or exiting from the work site to indicate whether or not they are working inside the tunnel at any given time. If a worker forgets to flip his or her name label when entering or exiting from the tunnel, management cannot be performed effectively. In order to tackle the challenges mentioned above, Zenitaka decided to build a system that could improve the safety of tunnel construction as well as reduce the amount of power consumed. In other words, this new system would facilitate a clear picture of which workers were working in each location at the mountain tunnel construction site, as well as which processes were being carried out at those respective locations at any given time. The system would maintain the safety of all workers while also carefully controlling the electrical equipment to reduce unnecessary power consumption. Having decided on the concept, our next concern was whether there existed any kind of robust hardware that would not break down at the construction work site, that could move freely in response to changes in the working environment, and that could accurately detect workers and vehicles using radio frequency identification (RFID). Given that this system would involve many components that were new to Zenitaka, we decided to enlist the cooperation of E.I.Sol Co., Ltd. ('E.I.Sol') as our joint development partner, as they had provided us with a highly practical proposal.
Case Study
Intelligent Building Automation System and Energy Saving Solution
One of the most difficult problems facing the world is conserving energy in buildings. However, it is not easy to have a cost-effective solution to reduce energy usage in a building. One solution for saving energy is to implement an intelligent building automation system (BAS) which can be controlled according to its schedule. In Indonesia a large university with a five floor building and 22 classrooms wanted to save the amount of energy being used.
Case Study
Powering Smart Home Automation solutions with IoT for Energy conservation
Many industry leaders that offer Smart Energy Management products & solutions face challenges including:How to build a scalable platform that can automatically scale-up to on-board ‘n’ number of Smart home devicesData security, solution availability, and reliability are the other critical factors to deal withHow to create a robust common IoT platform that handles any kind of smart devicesHow to enable data management capabilities that would help in intelligent decision-making
Case Study
Splunk Partnership Ties Together Big Data & IoT Services
Splunk was faced with the need to meet emerging customer demands for interfacing IoT projects to its suite of services. The company required an IoT partner that would be able to easily and quickly integrate with its Splunk Enterprise platform, rather than allocating development resources and time to building out an IoT interface and application platform.