PIANC Smart Rivers 2022
Reviewing Presentation documents
Topic:
Inland Navigation Structure
Logistics
River System Management
Smart Shipping
Special Sessions
Waterway Infrastructure
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Is corresponding author or not (one only):
Author
2
Name:
Affiliations:
Region:
Afghanistan
Albania
Algeria
America
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Aruba
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Belarus
Belgium
Belize
Benin
Bermuda
Bhutan
Bolivia
Bosnia and Barbados
Bosnia and Herzegovina
Botswana
Brazil
British Virgin Islands
Brunei
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Cayman Islands
Central African Republic
Chad
Chile
China
China(Hong Kong)
China(Macao)
China(Tai wan)
Colombia
Comoros
Costa Rica
Croatia
Cuba
Cyprus
Czech Republic
Democratic Republic of the Congo
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Falkland Islands
Faroe Islands
Fiji
Finland
France
Gabon
Gambia
Georgia
Germany
Ghana
Gibraltar
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Laos
Latvia
Lebanon
Lesotho
Liberia
Libya
Liechtenstein
Lithuania
Luxembourg
Macedonia
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Mauritania
Mauritius
Mexico
Micronesia
Moldova
Monaco
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
North Korea
Norway
Oman
Pakistan
Palau
Palestine
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Puerto Rico
Qatar
Romania
Russia
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent And The Grenadine
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovak Republic
Slovenia
Solomon Islands
Somalia
South Africa
South Korea
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syria
Tajikistan
Tanzania
Thailand
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United States of America
Uruguay
Uzbekistan
Vanuatu
Venezuela
Vietnam
Wallis and Futuna
Western Samoa
Yemen
Zambia
Zimbabwe
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Abstract :
*(250~1000 words)
The lock capacity is an important technical and economic index to determine the scale of lock. It is an important research content in the planning and design of lock. The accuracy of its calculation results will directly affect the rationality of lock design simulation and design scale. The lock capacity is defined as the gross deadweight tonnage of ships passing through the lock and the cargo volume passing through the lock in the design level year in China’s “Code for Master design of Ship lock” The gross deadweight tonnage of ships passing the lock refer to the sum of deadweight tonnage of all ships passing the lock in a year under the conditions of predicted ship type combination, ship passing efficiency and navigation time, which is the capacity under ideal conditions. The calculation of cargo volume passing through the lock should also consider non cargo factors, ship loading rate and operation imbalance, so as to obtain the sum of the actual cargo volume passing through the lock in one year. There are many factors affecting the lock capacity, including ship size and ship type combination, navigation speed of ships entering and leaving the lock, ship spacing, lock filling and discharging time, gate opening and closing time, dimension of lock chamber, navigation days, ship loading rate, traffic volume imbalance, daily working time, etc. The calculation of lock capacity is a very complex work. The simulation research of lock capacity refers to the method of analyzing the lock capacity by building a simulation model based on the system simulation theory and using the scheduling algorithm and optimization algorithm. In the simulation model, the ship's random arrival at the lock and the distribution proportion of ship type can be simulated, so as to realize the random process of ship passing through the lock and simulate the ship passing scheduling rules. Compared with the methods of manual calculating the lock capacity according to the code, the simulation method is more objective and scientific. In the simulation analysis of lock capacity, the two ship operation parameters of ship entry and exit speed and start-up interval have strong randomness. This paper studies the rationality of the parameters of these two models by constructing the simulation model of lock capacity system. The simulation test shows that with the increase of randomness of ship entry and exit speed, the passing capacity of ship lock decreases gradually, but this decrease can be ignored in engineering design. The randomness of the starting interval has no obvious effect on the carrying capacity of the ship lock. Therefore, it is reasonable to take the average value of the model parameters when using the system simulation method to determine the navigation capacity of the lock, and considering all factors comprehensively, it is recommended to take the average value of the parameters in the modeling.
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