Unit
- Course
- Safety engineering for the territory and the built environment
- Study-unit Code
- A004683
- Curriculum
- Costruito
- Teacher
- Manuela Cecconi
- CFU
- 10
- Course Regulation
- Coorte 2024
- Offered
- 2025/26
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa integrata
Code | A004685 |
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CFU | 6 |
Teacher | Manuela Cecconi |
Teachers |
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Hours |
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Learning activities | Caratterizzante |
Area | Ingegneria della sicurezza e protezione civile, ambientale e del territorio |
Academic discipline | ICAR/07 |
Type of study-unit | Obbligatorio (Required) |
Language of instruction | Italian |
Contents | Site investigations: aims and importance; planning and design. Geotechnical characterisation of soils/rocks. In situ-tests. Geotechnical monitoring. |
Reference texts | Lecture notes. "Introduzione alle indagini geotecniche" (A. Flora, Hevelius Edizioni) "Fondazioni" (C. Viggiani, Hevelius Edizioni) Specialised scientific papers. Technical codes (NTC2018) |
Educational objectives | The purpouse of this course is to introduce the Student to the scopes, techniques, procedures of geotechnical in situ investigations and geotechnical monitoring. They are fundamental in any design process for the safety of geotecnichal systems. |
Prerequisites | In order to fully understand the topics of this Course, Students have to know the basic concepts of Geotechnics, dealt with during the basic courses of a 3-years Degree in Civil Engineering as well as Geotechnical Safety (held at the 1st year of the Master Degree) |
Teaching methods | Face to face (4-6 hours per week) in class. Examples from in situ tests: analysis and data interpretation. Field trips (at least one, during the 2nd semester) |
Other information | Attending the lessons is optional but strongly suggested |
Learning verification modality | Oral exam, in presence. The exam will take not more than 45 min. The exam is aimed at verifying: a) the level of knowledge; b) the ability of the Student to discuss in situ investigations and survey, geotechnical monitoring, adopted methods and procedures, analysis and interpretations of results. |
Extended program | Site assessment: soils/rock identification. Geotechnical characterization (soil/rocks). In-situ surveys and investigations: equipment and instrumentation. Analysis and interpretation of results. Case studies. Classroom numerical calculations and examples. Geotechnical Monitoring: piezometers, assestimeters, inclinometers, accelerometers. |
Code | A004684 |
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CFU | 4 |
Teacher | Antonio Moschitta |
Teachers |
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Hours |
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Learning activities | Affine/integrativa |
Area | Attività formative affini o integrative |
Academic discipline | ING-INF/07 |
Type of study-unit | Obbligatorio (Required) |
Language of instruction | Italian |
Contents | The course topics include various features related to remote and distributed data acquisition, aimed at providing skills enabling to design such kind of systems, both indoor and outdoor. To this aim, the requirements of a distributed measurement system are initially described, identifying functional blocks and propagation of information in practical scenarios. The course initially deals with data acquisition and processing, focusing on individual nodes. Then data propagation and more complex multi-node systems are considered. The considered practical scenarios include both classical wired and wireless solutions, like the wireless sensor networks. |
Reference texts | Handouts provided by the Teacher Feng Zhao, Leonidas J. Guibas, Wireless Sensor Networks: an Information Processing Approach, Elsevier, ISBN: 978-1-55860-914-3, 2004. Winston Seah, Yen Kheng Tan, “Sustainable Wireless Sensor Networks,” www.intech.org; Hoang Duc Chinh and Yen Kheng Tan, “Smart Wireless Sensor Networks,” www.intech.org; Dr. Geoff V Merret and Dr. Yen Kheng Tan, “Wireless Sensor Networks: Application-Centric Design,” www.intech.org; |
Educational objectives | Main knowledge acquired: Understanding of basic concepts related to distributed systems for data acquisition, propagation, and processing, with stationary or non-stationary topology, and remote instrumentation operation, using various wired or wireless communication protocols Understanding of the architecture of a wireless sensor network (WSN), of a WSN node, and of the canonical problems solved using WSNs Main competence acquired: Capability of designing and realizing a distributed measurement system for environmental or process monitoring Capability of selecting the proper data acquisition technique and interfacing to sensors Capability of designing the architecture and the characteristics of a WSN Capability of designing and realizing measurement nodes to be operated in a WSN |
Prerequisites | None |
Teaching methods | 3 Academic Credits: e-learning, 27 hours TD (9 hours of video/audio recordings); 1 Academic Credit: face to face teaching (8 hours) |
Other information | None |
Learning verification modality | Oral test |
Extended program | Teaching Unit – Introduction (3 hours TD) Introduction to the course and presentation of the course topics. Definition of Distributed Systems and of distributed measurements. Main requirements and problems. Teaching Unit – Data acquisition and transfer (9 hours TD) Architecture and elements of a Data Acquisition system (DAS). Performance metrics. Busses: introduction. characteristics, management. Busses for interfacing embedded systems and sensors and industrial systems. Teaching Unit – Wireless Sensor Networks (WSNs) and data fusion (14 hours TD, 9 hours face to face) Wireless protocols for data transfer. Introduction to WSNs, canonical problems. Architectural requirements of a WSN node. The IEEE 1451 Standard. LORA and LORAWAN. Energy budget and energy harvesting techniques. Propagation of information and sensor/data fusion techniques (briefs). Tracking and area monitoring using a WSN. Performance and measurement uncertainty. Synchronization of a WSN. |
Obiettivi Agenda 2030 per lo sviluppo sostenibile | The course topics are compatible with the objectives 9 and 2, since they support the development of efficient systems and infrastructures, capable of a timely response to unexpected phenomena |