GEOtechnical deRisk by Genetic Inverse Analysis
Sector: Commercial • Location: Spain
Source: EU Funding & Tenders Portal
Mainly funded by taxpayers' money, the construction industry has a poor track record in sustainability, efficiency and safety, which are in many cases linked to the lack of understanding of ground behaviour. The construction industry is responsible for 11% of global carbon emissions from construction embodied carbon, 9 out of 10 projects experience cost overruns (+45% of project cost) and 60,000 f
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | Mainly funded by taxpayers' money, the construction industry has a poor track record in sustainability, efficiency and safety, which are in many cases linked to the lack of understanding of ground behaviour. The construction industry is responsible for 11% of global carbon emissions from construction embodied carbon, 9 out of 10 projects experience cost overruns (+45% of project cost) and 60,000 fatal accidents in construction yearly. Geotechnical uncertainty translates to over-designs, unforeseen events, and impacts overall safety. GEORGIA responds to the opportunity to reshape the Capital Infrastructure and Large Building Projects market by introducing and consolidating the concept of interactive design. GEORGIA will enhance the development and commercialization of DAARWIN as the pioneer end-to-end digital platform based on Adaptive Genetic Algorithm to address the ground uncertainty problem and reduce carbon footprint, cost overruns and increase the safety of construction projects. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
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