The work shall be typed or word-processed in your own words.   The deadline for submission is 11:59 p.m. (HKT) on 08 Mar 2024 (Friday).

Learning Outcomes

This piece of assessment will test your ability to meet learning outcomes as described hereunder:

. Use and apply Scilab to plot graphs of functions given both analytically and by the data from text files. Incorporate those graphs into reports electronically (Learning Outcome 1)

. Apply  standard  numerical  methods  of  computational  engineering,  e.g.  curve  fitting  and interpolation,  solution  of  simultaneous  linear  equations,  and  statistical  processing  of experimental data (Learning Outcome 2)

. Write Scilab scripts and function to carry out engineering computations and plot complex graphs (Learning Outcome 3)

. Demonstrate  the  use  of problem  solution  tools  and  evaluative  skills  in  the  selection  of appropriate methods of analysis (Learning Outcome 4)

Assignment Details

This assignment contains 4 questions. Answer all questions with words not exceeding 2,500. All the assumptions, comments in the scripts and explanation in your answers should be clearly stated due to be awarded. The assignment will carry 50% weighting of the total mark of this module.

Submission Details

(1)        The  deadline  for  submission  is   11:59  p.m.  (HKT)  on 08 Mar 2024 (Friday).  Late

submission will be dealt with strictly in accordance with UCLan Regulations.

(2)        The script files for both Scilab (*.sce) and CFAST (*.IN) and captured screenshots to demonstrate the output results shall be included in the submission.

(3) No hard copy is required to be submitted to the SCOPE counter. This assignment should be submitted through Turnitinto CityU SCOPE CANVAS assignment submission folder.

(4) In-text  citations and referenced  publications shall  be  added  to  the  answer  to  each question.

(5)       Using AI-generated text to complete your assignment is prohibited. Citation of Harvard style shall be used for all quoted references. UCLan regards any use of unfair means in an attempt to enhance performance or to influence the standard of award obtained as a serious academic and/or disciplinary offence.

(6)        Submission of written assignment shall be type-written in .pdfor .docx format. The file name of your submission shall follow the format as the example below:

FVxxx_CHAN Tai Man_G12345678

(7)        Students should do whatever means to make sure the files are duly submitted via the CANVAS system and check whether the work is successfully uploaded (by downloading the file from CANVAS again). All claims on technical problem without strong evidence for unsuccessful uploading shall not be accepted.

(8)        It should be the students’ responsibility to double-check the readability (pdf or docx format) of the submitted files.

(9)       Administration  team  will  not  remove  or  replace  student’s   submitted  assignment  in

CANVAS or help students to upload the soft copy of his/her assignments to CANVAS.

Q2. (Learning Outcome 2) Use Scilab to read the heat release rate stored in the file named as “Q2_heat release rate.csv” which contains the measured heat release rate for full- scale upholstered chair from the four selected fire tests. Please download the csv file from the “Assignment Brief” folder at the course Canvas.

You  are required to write  a  Scilab  function  with the header  avg_peak_hrr  = read_hrr(input_filename) which could read the input of the full path of the csv file stored at your local hard disk. The defined function read_hrr shall be able to:

(1) Plot the heat release rate curve of the 4 fire tests for the upholster chair side-by- side on the same figure with appropriate labels;

(2) Indicate the peak heat release rate and the time to peak heat release rate for each test; and

(3) Calculate the averaged peak heat release rate  avg_peak_hrr  from the four selected fire tests

(1) Plot the t-square growth fire curve till the activation of the detector/sprinkler;

(2) Plot the detector/sprinkler temperature ( TD,t ), ceiling eet temperature  ( Tjet,t )

varying with time till the activation of the detector/sprinkler; and

(3) Save the iteration results for all the variables including  Q(̇)t,  vjet,t , τ ,     Tjet,t     and

TD,t    to atext file named as “output.txt” at the end of the simulation.

Q4. (Learning Outcome 4) Aroom has 4×7m floor area and 3m height with a door opening of 2.0mhigh and 0.8m wide and a window of 1.2×1.2mopening at 1m above the floor. The sectional view of the room is shown as below. Assume the room is constructed by reinforced concreate of 0.015m thickness with the density of 1,500 kg/m3, specific heat capacity of 0.9 kJ/kg•K and thermal conductivity of 0.5×10-3 kW/m•K. You are required to use the two-zone fire model CFAST to study the impact of fire and smoke in the room for 10-mins duration for the below two fire scenarios.

The  study  shall  provide  the  necessary  explanation  with  at  least   150  words  on  the assumptions such as fuel type, fire development profile (i.e. fire growth rate and fire decay rate), fire bed location, ambient temperature, etc. The student shall explore the generated results by CFAST and summarize the time reaching the untenable criteria for EACH fire scenario referring to the smoke layer height, smoke temperature and gases concentration in the room.