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LiveDesign Quantification of Subjective Opinion in Mitigating Effects of Extreme Events. by Gautam Dasgupta, Professor, Civil Engineering Columbia University, New York, NY 10027, USA What is LiveDesign ? 1. Is it a software? 2. Is it a design concept?
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LiveDesignQuantification of Subjective Opinionin Mitigating Effects of Extreme Events by Gautam Dasgupta, Professor, Civil Engineering Columbia University, New York, NY 10027, USA What is LiveDesign? 1. Is it a software? 2. Is it a design concept? 3. What is a conventional design? 4. What are new contributions? Keywords: Intelligent infrastructure, extreme events, sensing and broadcast
Design vs. LiveDesign • Conventional design and construction: • 1. Cost saving • 2. Engineering Calculations • LiveDesign • 1. Saving human life and minimizing human suffering • 2. Optimize performance using subjective experiences
IT based LiveDesign • LiveDesign prototypes : • 1. Aid authorities after natural and manmade disasters • 2. Suggest best evacuation and rescue strategies • 3. Broadcast most favorable measures
Statistical decision in LiveDesign • 1. High speed large scale computing • 2. Collection of subjective opinions • 3. Statistics for extreme events • Knowledge is continuously updated • Decision made in real time • Hence the name: LiveDesign.
LiveDesign Research • 1. Background work from 2001 • (a) engineers • (b) architects • (c) computer scientists • (d) lawyers • 2. LiveDesign core methodology • 3. Randomly selected office building models • 4. Seamless open environment • --- 9/11, Tsunami, Katrina, Bird Flue ….. • 5. Intelligent civil infrastructures • (a) building, roads, bridges • (b) watersheds • (c) energy systems • 6. Natural and manmade disaster modules
Principal parts of LiveDesign • Intelligent information acquisition (a) Engineering response data (numeric) (b) Sensor measurements (digital) (c) Bodies of laws and code requirements (textual) (d) Subjective opinion (imprecise) • 2. Statistical combination of above items • 3. Virtual reality-based smart signs : • (a) evacuation • (b) rescue • (c) management communication
Quantitative and Qualitative Information in LiveDesign • Combine: • Structural stress analysis: response history • 2. Regulations (such as Building Codes) • 3. Legal requirements • 4. On-line sensor readings
Fuzzy logic in LiveDesign • 1. Predicts threat from • statistical combination 2. Statistical optimization for the worst fatal state in space and time • 3. Calculations with confidence levels
LiveDesignDataBase • 1. Dynamic searches • (a) signal fatal events • (b) check tight bounds for credible threats • (c) continuously fine-tune in a self-learning environment • 2. Sort out false alarms • 3. discover yet to be identified extreme events • 4. Simulate threats • (eg. use Keränen’s extremely rare strings)
LiveDesignNetwork • Security costs depend nonlinearly on the associated payoff • 2. All indices can be assessed • only in the probabilistic sense • 3. Computer Algebra (symbolic) calculation: • (a) use joint probabilities • (b) uses graphical communication language • (c) use causality • 4. Current modeling procedure is written in Mathematica • 5. Mathematical basis is the graph theory
Elements of the network • 1. The network formulation starts with elementary subsystems • 2. Modelica can create complex systems using the formal specifications of • the links in the LiveDesign database • 3. Benchmark examples have been verified using Mathematica:
Large number of variables • Conveniently programmed in Mathematica.
Chemistry and biology provides good analogies:experiments and theory go together in the ‘organic form of design.’ • There may be more than a single answer 2. Several outcomes possible with different probabilities 3. The fuzzy logic concepts give optimized answer
LiveDesignrepresentation conept • 1. Architects create the LiveBluePrint • 2. A collection of its various parts, and then assembled. • 3. Modern buildings are more complicated: • (a) there are additional subsystems • (b) such as power, water, elevators • (c) and above all a security infrastructure
Intelligent Infrastructureby LiveDesign • Smart structures respond to their surroundings Safety: Thermo-mechanical inputs • 2. Intelligent infrastructures • (a) Security (Safety concerns as subsets) • (c) Management/Government policy and laws • 3. Information based technology • (a) Integration of quantitative and qualitative data • (b) Computer understandable . representation/communications
The LiveDesign Team • 1. Universities • (a) Columbia University • (b) MIT • (c) Carnegie Mellon University • (d) University of Maine • 2. Industries • (a) OKG Constructions, NYC • (b) Contour Graphics Architects, NYC • (c) Serby Attorneys, NYC • 3. Foreign collaborators • (a) Kagawa University, Japan • (b) Tokyo Metropolitan University, Japan • (c) Paris & Besancon, France; AIT Thailand,